# FewerJobs export - 100 curated jobs Generated: 2026-06-14T10:41:43.832Z Source: https://fewerjobs.com ## Filters applied - **q**: Thought Machine - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **apply_url_verified**: false - **page**: 1 - **per_page**: 100 - **sort**: relevance ## Jobs ### Account Director - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-02-04 - Apply: https://jobs.ashbyhq.com/thought-machine/1b6217cd-d391-4ca8-8cac-5ed49a1262c9 - Excerpt: Account Director United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine is seeking an Account Director to be a key contact between our clients across EMEA. This pivotal role involves driving existing accounts ### Engineering Programme Manager - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-12-09 - Apply: https://jobs.ashbyhq.com/thought-machine/27781a54-a396-4cad-854e-d200bee24083 - Excerpt: Engineering Programme Manager United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Engineering Programme Managers at Thought Machine are responsible for the delivery of complex technical programmes within the engineering division. We take a leading ### Full Stack Engineer - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-12-09 - Apply: https://jobs.ashbyhq.com/thought-machine/593d4a6f-5978-4cdc-81de-d6177efdf634 - Excerpt: Full Stack Engineer United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, ### Forward Deployed Engineer - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-15 - Apply: https://jobs.ashbyhq.com/thought-machine/708e8750-d7d5-43e4-85a9-f887f3cae506 - Excerpt: Forward Deployed Engineer United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. The Forward Deployed Engineer is Thought Machine's primary technical interface with the client. FDEs embed directly with client engineering teams to design, build, ### Cloud Support Engineer - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-12-10 - Apply: https://jobs.ashbyhq.com/thought-machine/ef8fa6ff-fa9b-44db-9f31-b644a3ad2cf7 - Excerpt: Cloud Support Engineer United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. As a Cloud Support Engineer at Thought Machine, you're stepping into a technical role that goes well beyond incident response. At this level, ### Site Reliability Engineer - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-03-19 - Apply: https://jobs.ashbyhq.com/thought-machine/d1e5020a-adb8-4e29-8c62-a1b6985cb232 - Excerpt: Site Reliability Engineer United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine's Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential financial institutions. As a member of our ### Software Engineer (Infrastructure) - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-12-25 - Apply: https://jobs.ashbyhq.com/thought-machine/a462734a-7ade-4f4e-8fa8-5ff16ac63c95 - Excerpt: Software Engineer (Infrastructure) United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. At Thought Machine, our Software Engineers specialised in Infrastructure play a crucial role in deploying and maintaining our cutting-edge software, developing tools and ### Head of Product Partnerships - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Apply: https://jobs.ashbyhq.com/thought-machine/d4aa5684-b920-4407-9d2d-56c894ca0f6f - Excerpt: Head of Product Partnerships United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. At Thought Machine, we believe the next era of finance is predictive, personal, and powered by AI. Over the last decade, we ### Engineering Manager - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/thought-machine/285cf775-0ff7-446d-87c7-18274b8f7bcf - Excerpt: Engineering Manager Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, and utilising modern ### Application Security Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/thought-machine/6c64b724-387e-4c99-b894-202228132951 - Excerpt: Application Security Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. This position plays a key role in ensuring ### Cloud Security Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/thought-machine/c9f34a1c-4e2d-44ca-8b2d-2e5f2e27a54a - Excerpt: Cloud Security Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. A Cloud Security Engineer is a contributor to ### IT Support Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/thought-machine/60a7f624-de24-430f-a06b-4058d581a716 - Excerpt: IT Support Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. At Thought Machine, IT stands for Internal Technology ### Back End Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - Apply: https://jobs.ashbyhq.com/thought-machine/6e000902-bafa-4cb7-8849-57ec38170e75 - Excerpt: Back End Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, and utilising ### Security Control Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/thought-machine/2b3f1a48-ca91-4d14-bc8f-a840423fe629 - Excerpt: Security Control Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. Thought Machine is in search of a Security ### Senior Site Reliability Engineer - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-02-06 - Apply: https://jobs.ashbyhq.com/thought-machine/e973530c-f99a-487a-b826-db522cb4bbb1 - Excerpt: Senior Site Reliability Engineer United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine's Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential financial institutions. As a member of ### Office Manager - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-28 - Apply: https://jobs.ashbyhq.com/thought-machine/7b97a7ea-eabb-4da1-9f5c-7acdfcee20ed - Excerpt: Office Manager Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring five days a week onsite. We're looking for an energetic and driven Office Manager ### Sales Engineer - Thought Machine - Location: Australia, Sydney, Sydney, Australia (unspecified) - Salary: Not disclosed - Posted: 2026-05-05 - Apply: https://jobs.ashbyhq.com/thought-machine/bae7144d-6d11-47cf-94cd-724f6214dd0a - Excerpt: Sales Engineer Australia, Sydney, Sydney, Australia Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. As a Sales Engineer, you play a pivotal role in leveraging our technology to provide a competitive edge and effectively communicate its value proposition. Duties - ### Senior Software Engineer (Infrastructure) - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/thought-machine/d765aae1-7295-4d29-90cb-19151af902cc - Excerpt: Senior Software Engineer (Infrastructure) Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, and ### Sales Director - Thought Machine - Location: United States, New York, New York City, New York City, New York, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/thought-machine/0958e7ef-9c25-4558-8129-5af287fb7298 - Excerpt: Sales Director United States, New York, New York City, New York City, New York, United States Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine is building the next-generation infrastructure designed to empower mid-market and regional banks to compete ### Senior Back End Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/thought-machine/893c9a90-21b3-4e5c-97ef-8b97d95997c2 - Excerpt: Senior Back End Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Software Engineering is a key role within Thought Machine. As an engineering-focused company, we take pride in our engineering excellence, adopting best practices, and ### Sales Director (Spanish Speaking) - Thought Machine - Location: United States, Florida, Miami, Miami, Florida, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/thought-machine/d415ae62-6449-42ea-8434-5db003b3a2b8 - Excerpt: Sales Director (Spanish Speaking) United States, Florida, Miami, Miami, Florida, United States Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine is building the next-generation infrastructure designed to empower mid-market and regional banks to compete at the highest level. ### Global Head of Production Support - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-01 - Apply: https://jobs.ashbyhq.com/thought-machine/3bb814da-ea6e-432e-9fe9-a7b145c4bc65 - Excerpt: Global Head of Production Support United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Thought Machine's Cloud Support Engineering teams are mission-critical for the world's most influential financial institutions. As our Global Head of Production ### Client Success Director (Thai Speaking) - Thought Machine - Location: Singapore (unspecified) - Salary: Not disclosed - Posted: 2026-05-22 - Apply: https://jobs.ashbyhq.com/thought-machine/4e60378a-19c8-4ae0-b0fb-c4454451b470 - Excerpt: Client Success Director (Thai Speaking) Singapore Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. The Client Success Director (CSD) is accountable for ensuring Clients successfully adopt and scale our platform to achieve their contracted outcomes. The primary measure of success ### Senior Product Manager - Vault Expansion - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Apply: https://jobs.ashbyhq.com/thought-machine/038d625f-c07e-48ed-afcd-c92b23a02b64 - Excerpt: Senior Product Manager - Vault Expansion Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. The Vault Expansion team at Thought Machine is responsible for shaping and delivering the product strategy to enable Thought Machine to better ### Core Banking developer - U.S. Bancorp - Location: Dublin, Ireland (unspecified) - Salary: Not disclosed - Posted: 2026-04-09 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Loughlinstown-Ireland/Core-Banking-developer_2026-0006184-2/apply - Excerpt: Core Banking developer Dublin, Ireland This role suits candidates with direct Thought Machine experience or a comparable background building digital banking products on modern core platforms, with strong engineering fundamentals and an app... ### AIML - Sr Machine Learning Engineer, Responsible AI - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200636400/aiml-sr-machine-learning-engineer-responsible-ai?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer, Responsible AI Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand ### AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-20 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200647866/aiml-senior-machine-learning-engineer-data-science-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; ### Supply Clerk (Vending Machine) NF-02 - Department of the Army - Location: McAlester, Oklahoma (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Hires in: OK - Apply: https://www.usajobs.gov:443/job/872599200 - Excerpt: Supply Clerk (Vending Machine) NF-02 McAlester, Oklahoma Summary This position is located at McAlester Army Ammunition Plant in McAlester, Oklahoma.. Incentives and Bonuses Incentives will not be paid. Duties Orders and maintains adequate supply levels and stock usage reports for assigned vending and or coin operated video game machines located on the installation. Places orders with local vendors based on stock levels. Responsible for collecting and safeguarding collected revenue from machines. May perform minor repair and maintenance of vending machines. Operates a motor vehicle to deliver goods from stock room to various vending machine locations. Evaluation Your Application Matters: How We Will Review It We want to help you put your best foot forward! Please take time to carefully follow all application instructions - missing information or skipped steps could impact your eligibility. Your application will be thoughtfully reviewed to see how well your experience and qualifications align with the requirements listed in this announcement. This includes your resume, supporting documents, and responses to the assessment questionnaire. We will consider your responses to our application questionnaire. If you're tentatively qualified, we'll take a closer look to ensure your questionnaire responses match the experience reflected in your resume and documentation. Note: If it's later found that qualifications or experience were overstated, it may affect your consideration for the position - so honesty and clarity are key. Understanding Eligibilities: What You Can Claim When Applying When you apply for a federal position through USAJOBS or USA Staffing, you may be eligible for ### Lead Vending Machine Collector/ Distributor NF-02 - Department of Defense - Location: New Cumberland Defense Logistics Center, Pennsylvania (unspecified) - Salary: Not disclosed - Posted: 2026-03-26 - Hires in: PA - Apply: https://www.usajobs.gov:443/job/862710600 - Excerpt: Lead Vending Machine Collector/ Distributor NF-02 New Cumberland Defense Logistics Center, Pennsylvania Summary This position is located at Defense Logistics Agency Susquehanna in New Cumberland, Pennsylvania. To better expedite the hiring process, we recommend including full contact information (name, address, phone number, email, etc.) for professional and personal references on your resume. Incentives and Bonuses Incentives will not be paid. Duties Serves as Lead Vending Machine Collectors/Distributor, leading three or more workers while performing the daily operations to include maintaining the accountability of funds. As team leader, provides work direction and duty assignments to coin collector/distributors; reviews and evaluates their work in progress or upon completion; and provides or ensures completion of required on-the-job training. Collects vending machine coins on a weekly basis. Coordinates and conducts move of VM and or new placement of machines with the appropriate District Manager. Maintains control logs and appropriate documentation records. Performs basic repairs and refurbishes vending machines. Evaluation Your Application Matters: How We Will Review It We want to help you put your best foot forward! Please take time to carefully follow all application instructions - missing information or skipped steps could impact your eligibility. Your application will be thoughtfully reviewed to see how well your experience and qualifications align with the requirements listed in this announcement. This includes your resume, supporting documents, and responses to the assessment questionnaire. We will consider your responses to our application questionnaire. If you're tentatively qualified, we'll take a closer look to ensure your questionnaire responses match ### CAM Programmer - Apptronik - Location: Austin, TX (unspecified) - Salary: Not disclosed - Posted: 2026-05-13 - Apply: https://boards.greenhouse.io/apptronik/jobs/5995708004?gh_jid=5995708004 - Excerpt: CAM Programmer Austin, TX Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY We are seeking a skilled CAM Programmer to develop, optimize, and maintain CNC programs for precision machining. The ideal candidate will translate engineering drawings and CAD models into efficient machining instructions, ensuring high-quality production while minimizing cycle time and material waste. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - Create and modify CNC programs using CAM software for milling, turning, and multi-axis machines - Interpret technical drawings, blueprints, and CAD models to determine machining requirements - Select appropriate cutting tools, speeds, feeds, and machining strategies - Simulate and verify toolpaths to prevent collisions and ensure accuracy - Collaborate with engineers, machinists, and production teams to improve manufacturability - Optimize programs for efficiency, quality, and cost-effectiveness - Troubleshoot machining issues and revise programs as needed - Maintain documentation for programs, tooling setups, and processes - Ensure compliance with safety and quality standards SKILLS ### Frame and Design Specialist NA-06 - Department of the Army - Location: West Point, New York (unspecified) - Salary: Not disclosed - Posted: 2026-05-21 - Hires in: NY - Apply: https://www.usajobs.gov:443/job/870208400 - Excerpt: Frame and Design Specialist NA-06 West Point, New York Summary This position is located at the West Point MWR Arts & Crafts Center. NOTE: The official title for this position is Engraving Machine Operator NA-06. The "working title" is Frame and Design Specialist NA-06. Incentives and Bonuses Incentives will not be paid. Duties Sets up and operates engraving machines to engrave a variety of items. Makes changes in machine setup, such as readjusting for different sizes of work piece or changes in shape. Uses specialized, computer based equipment for engraving and framing to create custom projects for patrons with a variety of materials to include paper mats, metal , glass, wood, etc. Uses other specialized equipment such as beveling machine, laser engraver, and COREL DRAW software, heat presses, copy machines and plastic/metal shears. Provides information and general instruction on the use of equipment, facilities and machinery. Provides one on one customer consultations. Provides safety instruction and demonstrates safe use of equipment. Participates in special events to market the engraving/framing services. Assists with placing orders with vendors for materials and supplies. Assists in the collection of fees, bank deposits, and daily activity report submissions. Evaluation Your Application Matters: How We Will Review It We want to help you put your best foot forward! Please take time to carefully follow all application instructions - missing information or skipped steps could impact your eligibility. Your application will be thoughtfully reviewed to see how well your experience and qualifications align with the requirements listed ### Software Machine Learning Engineer (Universal Robots, Bangalore - India) - Teradyne - Location: Software Machine Learning Engineer (Universal Robots, Bangalore - India) (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - Apply: https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/ - Excerpt: Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de ### Physical Design Engineer, Machine Learning - Apple - Location: San Jose, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-08 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200607680/physical-design-engineer-machine-learning?team=HRDWR - Excerpt: Physical Design Engineer, Machine Learning San Jose, United States of America At Apple, we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SOCs achieve the optimal Power, Performance, and Area (PPA). We account for every nano watt, every nano meter, and every pico second. As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering ### Software Machine Learning Engineer - Teradyne - Location: North Reading, MA (unspecified) - Salary: $116K-$186K - Posted: 2026-06-12 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - Apply: https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/ - Excerpt: Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor ### Principal Applied AI / ML Engineer - Faire - Location: San Francisco, CA (unspecified) - Salary: $308K-$424K - Posted: 2026-06-07 - Apply: https://boards.greenhouse.io/faire/jobs/8456064002?gh_jid=8456064002 - Excerpt: Principal Applied AI / ML Engineer San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: We are seeking a Principal AI / ML Engineer to be a company-level technical thought leader and practitioner to help shape the future of Data and AI at Faire. This is a rare opportunity to drive broad technical strategy across data, engineering, and product while remaining deeply hands-on with cutting-edge AI research and applications. This role reports directly to the CTO of Faire. You will: Shape the AI vision - Partner with product, design, strategy & analytics, machine learning, and the broader engineering leadership to define how AI can deliver transformational value to Faire's retailers and brands. Offer thought leadership to shape company-wide priorities, with particular focus on ### Senior Technical Product Manager - Vault Core - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-03-10 - Apply: https://jobs.ashbyhq.com/thought-machine/f42784b4-3b76-4ee8-91b7-b674ca90c437 - Excerpt: Senior Technical Product Manager - Vault Core United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. Vault Core is our flagship core banking platform, designed to run any bank product, from mortgages and savings to ### Senior Full Stack Engineer - Thought Machine - Location: Portugal, Lisbon, Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/thought-machine/31532a02-3649-4669-bf11-3a0f509048ca - Excerpt: Senior Full Stack Engineer Portugal, Lisbon, Lisbon, Portugal Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. This is a full-time, permanent position based in our Lisbon office, requiring four days a week onsite. Software Engineering is a key role within ### Client Success Managing Director - Thought Machine - Location: United Kingdom, London, London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-04-20 - Apply: https://jobs.ashbyhq.com/thought-machine/997cdf03-1657-4656-9142-d33a1b4cc195 - Excerpt: Client Success Managing Director United Kingdom, London, London, United Kingdom Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. The Regional Client Success Managing Director is accountable for the overall success, services profitability, and health of all Client relationships within their ### Client Success Director - Thought Machine - Location: United States, New York, New York City, New York City, New York, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-15 - Apply: https://jobs.ashbyhq.com/thought-machine/b42c28f0-7a83-41b7-b597-27a1a0fef586 - Excerpt: Client Success Director United States, New York, New York City, New York City, New York, United States Thought Machine's mission is bold - to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years - growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years-and a UK Best Employer for 2026. The Client Success Director (CSD) is accountable for ensuring Clients successfully adopt and scale our ### AIML - Machine Learning and Applied Research, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-03-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200648559/aiml-machine-learning-and-applied-research-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Machine Learning and Applied Research, Responsible AI and Safety Cupertino, United States of America Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology. Our team leads Responsible AI & Safety initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. You will also work on producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience. Minimum Qualifications: 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision 4+ Years research or product deployment record in areas ### Staff Machine Learning Engineer – Ads Platform - Apple - Location: Austin, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-02-19 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200647688/staff-machine-learning-engineer-ads-platform?team=MLAI - Excerpt: Staff Machine Learning Engineer – Ads Platform Austin, United States of America At Apple, we focus deeply on the customer experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 ! . Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to news publishers to big, global brands. Because when advertising is done right, it benefits everyone. Apple Ads is Hiring a hands-on Machine Learning Engineer. In this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost. Develop and manage end-to-end lifecycle of machine learning models, including observability for large-scale, high-throughput, and low-latency production systems. Design, develop, and optimize distributed algorithms and data processing frameworks(e.g., Spark). Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets. Reinforce Ads integrity and advertiser trust by safeguarding infrastructure. Solve complex problems ### Senior/Staff Machine Learning Engineer - Dexterity - Location: Redwood City (unspecified) - Salary: $170K-$225K - Posted: 2025-06-09 - Apply: https://jobs.lever.co/dexterity/c8a70b59-6dc2-4139-b3bf-758295777c98 - Excerpt: Senior/Staff Machine Learning Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role As a Senior/Staff Machine Learning Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in imitation learning, reinforcement learning, and other related fields in order to further develop Dexterity's technology ### Machine Learning Engineer - Jane Street Group, LLC - Location: London, England, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2024-05-20 - Apply: https://job-boards.greenhouse.io/janestreet/jobs/7437779002 - Excerpt: Machine Learning Engineer London, England, United Kingdom We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. We'll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them. If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. While there isn't a fixed list of qualifications we're looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're looking for someone with: - Experience building and maintaining training ### Machine Learning Engineer, Amazon Tablets - Amazon - Location: Madrid, Community of Madrid, ESP (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10420348/machine-learning-engineer-amazon-tablets - Excerpt: Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee ### Injection Molding Technician II - AptarGroup - Location: Eatontown, NJ (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://jobs.aptar.com/job/Eatontown-Injection-Molding-Technician-II-NJ-07724/1280713701/ - Excerpt: Injection Molding Technician II Eatontown, NJ WHO ARE WE Aptar is a global company delivering excellence in engineering and dispensing solutions that improve the lives of millions of consumers across the globe. Our workplace is an exciting environment of innovative thought, initiative, trust and teamwork. YOU SHOULD WORK HERE BECAUSE WE: attract and develop high performing people. promote a diverse and inclusive work environment. allow for failure by allowing people to make mistakes through an open and trusting environment. invest in the development of employees through local, regional and global career opportunities. Contribute to the communities where we reside. WHAT'S NEW WITH APTAR We have an exciting position open in Eatontown, NJ Injection Molding Technician II, reporting to the Production Supervisor. This position will ensure injection molding machines run to quality standards and meet all production goals. Ensure all safety and housekeeping procedures are followed. Report all quality and scrap issues to appropriate supervisor/Manager as soon as possible. THIS IS HOW YOUR JOURNEY BEGINS You will ensure injection-molding machines run to quality standards and meet all production goals. You will ensure all safety and housekeeping procedures are followed. Report all quality and scrap issues to appropriate supervisor/Manager as soon as possible. You will ensure efficient operation of injection molding machines including, but not limited to, checking in process and finished parts for errors and promptly correcting part ### Mechanical Operations Lab Lead - Etched - Location: San Jose, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/etched/3b2f14c2-e5a9-4505-a2d4-0cd37ddf9dbe - Excerpt: Mechanical Operations Lab Lead San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is looking for a Mechanical Lab Operations Lead to own the day-to-day operational backbone of our R&D and prototyping facility. This is a highly cross-functional, hands-on role responsible for everything required to keep a hybrid clean/dirty mechanical lab running seamlessly. You will manage a diverse footprint that spans a traditional machine shop , an advanced additive manufacturing and post-processing facility, a high-precision inspection area, and a large-scale inventory/rack build space. Reporting to the Head of Lab Operations, you will be the ultimate custodian of lab safety, machine uptime, asset tracking, and space workflow. You will partner directly with mechanical, thermal, and hardware validation engineers across multiple product lines to triage fabrication requests, manage material pipelines, enforce EH&S compliance, and maintain an environment where engineering can move at lightning speed without sacrificing organization or safety. Key Responsibilities - Lab Operations & Machine Maintenance - Machine Shop Ownership: Supervise and maintain machine shop equipment, including manual/CNC mills, lathes, drill ### Senior Machine Learning Engineer – Ads Predictions - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$318K - Posted: 2026-03-24 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200653495/senior-machine-learning-engineer-ads-predictions?team=SFTWR - Excerpt: Senior Machine Learning Engineer – Ads Predictions Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We're is looking for a highly skilled and motivated Machine Learning Engineer to join our Predictions group. We build the core machine learning models that power ad predictions and monetization across Apple's App Store and News platforms. The ideal candidate will bring deep expertise in machine learning, information retrieval, and large-scale modeling, and will thrive in a fast-paced, privacy-first environment. You'll work at the intersection of applied ML, deep learning, and retrieval systems-developing models that predict user interaction, optimize marketplace outcomes, and scale across billions of queries. You'll also explore and operationalize emerging techniques in Large Language Models (LLMs), Reinforcement Learning, and representation learning to advance Apple's ad prediction systems. Design and implement ML models to improve predictions of user interaction, click-through rate (CTR), and conversion rate (CVR) Develop and optimize retrieval algorithms, leveraging techniques from classical IR and modern deep learning Contribute to ### Outside Sales - Nox Metals - Location: Detroit | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/nox-metals/6358e9cf-552c-4adb-92b4-a9a9f975f19f - Excerpt: Outside Sales Detroit | OnSite Outside Sales | Nox Metals | Detroit, MI American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible. We need an Outside Sales hire to win new business and own accounts the rest of the industry will not touch. The job is machine shops first, the precision shops, the job shops, the contract manufacturers cutting parts for aerospace, defense, and industrial customers. You will walk their floors, prove Nox is faster and more reliable than anything they have used before, and win their material spend. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job. You will: - Win new business across machine shops, precision job shops, and contract manufacturers, this is the core of the role - Pick up OEM, prime, and tier 1 accounts opportunistically when relationships open the door, but the day-to-day is shop floors - Own the full sales cycle, prospecting, first call, plant visit, quote, close, and ongoing account management - Walk machine shop floors, sit with owners, buyers, programmers, and engineers, understand the parts they ### Senior Machine Learning Engineer - Ads Bidding & Pacing - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-03-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200649540/senior-machine-learning-engineer-ads-bidding-pacing?team=MLAI - Excerpt: Senior Machine Learning Engineer - Ads Bidding & Pacing Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. In this role, you will design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing ### Senior Machine Learning Engineering Manager – Ads Predictions - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $228K-$394K - Posted: 2026-03-26 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200653874/senior-machine-learning-engineering-manager-ads-predictions?team=SFTWR - Excerpt: Senior Machine Learning Engineering Manager – Ads Predictions Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are looking for a leader with deep experience in Ad Tech who has built and scaled complex machine learning models in production. Preferably, you have a strong track record of delivering high-impact response prediction systems (e.g., click-through rate, conversion rate, post-conversion optimization) at scale, and understand the nuances of optimizing for user engagement, relevance, and long-term value under latency constraints. You bring hands-on experience developing and deploying large-scale models, with an appetite for pushing state-of-the-art techniques and advancing model capability through increased scale and complexity. You are motivated by privacy-preserving machine learning and have experience building systems that operate effectively within privacy-first constraints. In this role, you will lead the strategy and development of inference models that predict and optimize user interactions with ads, working across the full modeling stack-from data and model training pipelines to real-time serving and experimentation. You will ### Senior Machine Learning Engineer, GAI Search Platform - Moveworks - ServiceNow - Location: Mountain View, CALIFORNIA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.smartrecruiters.com/ServiceNow/744000130061320-senior-machine-learning-engineer-gai-search-platform-moveworks - Excerpt: Senior Machine Learning Engineer, GAI Search Platform - Moveworks Mountain View, CALIFORNIA, United States Company Description: It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description: What You Will Do We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users' questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers' employees. For the Search Platform , we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. The search platform team works closely with the ### Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $183K-$248K - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning - Excerpt: Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing ### Machine Learning Performance Engineer - Jane Street Group, LLC - Location: London, England, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2024-05-20 - Apply: https://job-boards.greenhouse.io/janestreet/jobs/7449252002 - Excerpt: Machine Learning Performance Engineer London, England, United Kingdom We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Your part here is optimising the performance of our models - both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level - is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long? If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills, but here are some of the things we're looking for: - An understanding of modern ML techniques and toolsets - The experience and systems knowledge required to debug a training run's performance end to end - Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores ### Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $159K-$215K - Posted: 2026-02-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware - Excerpt: Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge ### Mechanical Engineer, Annapurna Labs, Machine Learning Hardware - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $136K-$184K - Posted: 2026-06-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware - Excerpt: Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data ### Machine Learning Scientist - Arena - Location: Bay Area, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-18 - Apply: https://jobs.ashbyhq.com/arena/38c21c97-1852-4cd1-b618-2f5fe0492202 - Excerpt: Machine Learning Scientist Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the ### Senior Machine Learning Engineer - Matching, Apple Ads - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$272K - Posted: 2026-02-02 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200644478/senior-machine-learning-engineer-matching-apple-ads?team=SFTWR - Excerpt: Senior Machine Learning Engineer - Matching, Apple Ads Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! You'll have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You'll drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You've, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You'll have an ### Principal Applied Scientist, Amazon Payments - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $199K-$269K - Posted: 2026-05-07 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10414299/principal-applied-scientist-amazon-payments - Excerpt: Principal Applied Scientist, Amazon Payments Seattle, Washington, USA We are looking for a Principal Applied Scientist for Amazon Payments AI/ML Team, which contributes science and science-related engineering work for Amazon's Payments Artificial Intelligence services (e.g. Amazon Payments Recommendation, Prediction, GEN AI platform to enable SOP automation and new projects already underway). In this role, you will work with your peers and senior management to set the direction for Amazon's AI efforts. Our mission is to put the power of AI in the hands of every developer. You will be responsible for mentoring a team of applied scientists. You will be responsible for creating a strong environment for applied scientists, with a focus on recruiting, retaining and developing top talent. You will partner with engineering leaders to deliver remarkable new Amazon Payments services and features that leverage Machine Learning and GenAI. As a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with teams of talented scientists, and fill the ranks by attracting the best scientists in machine learning, e.g. Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing resources. Basic Qualifications: - PhD or MSc in computer science or related fields - 10 + years in AI and Machine Learning in industry and/or academia - Track record of thought leadership ### Machine Learning Engineer - Arena - Location: Bay Area, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-18 - Apply: https://jobs.ashbyhq.com/arena/eaeb1f28-cca9-468d-abcf-5ff412ad75de - Excerpt: Machine Learning Engineer Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You'll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, ### Data Scientist - Aven - Location: Campbell, CA, Campbell, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-08-08 - Apply: https://jobs.ashbyhq.com/aven/7d915a09-9160-407b-bb25-dfd5b5b0e654 - Excerpt: Data Scientist Campbell, CA, Campbell, California, United States Job Description We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific methodologies. Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on extensive datasets, you will measure outcomes, identify causal impacts, predict future performance, and design innovative data-driven solutions. In this role, you will - Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions - Apply statistical, machine learning and econometric models on large datasets to: - measure results and outcomes - identify causal impact and attribution - predict future performance of users or products - Design, implement and launch innovative data science solutions to empower data-driven decisions at scale - Design, analyze, and interpret the results of experiments - Develop key metrics and observability for Aven products - Drive the collection of new data and the refinement of existing data sources - Create analyses that tell compelling stories and inspire action We're looking for someone with - 5+ years of data science experience with a track record of thought leadership and innovation - A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics) - Expert knowledge of a scientific computing language (such as R or Python) and SQL - Theoretical and applied expertise in statistics, machine learning and experimental design - Excellent written and ### Machine Learning Scientist - Open Source Lead - Arena - Location: Bay Area, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-18 - Apply: https://jobs.ashbyhq.com/arena/62014e2d-6225-4310-96d3-c0a2c3df27f0 - Excerpt: Machine Learning Scientist - Open Source Lead Bay Area, California, United States About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You'll design, run, and share new methods and ### Senior Machine Learning Engineer - Ads Auction - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-03-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200651407/senior-machine-learning-engineer-ads-auction?team=MLAI - Excerpt: Senior Machine Learning Engineer - Ads Auction Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. The ideal candidate has a strong background in auction theory, applied machine learning, and large-scale systems, along with hands-on experience building and optimizing auction-based ad delivery systems in production. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. In this role, you are responsible for designing the core auction system that powers our advertising platform to drive optimal outcomes for advertisers, users, and our platform. You will have the opportunity to build the next generation solutions for marketplace optimization that enable driving optimal value for multiple stakeholders in the system. You will have the opportunity to apply your ability to move the state ### Machine Learning Scientist I/II, Scientific Reasoning - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $176K-$304K - Posted: 2025-10-06 - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031437009 - Excerpt: Machine Learning Scientist I/II, Scientific Reasoning Cambridge, MA USA Your Impact at LILA As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized. What You'll Be Building - Design and formalize frameworks for scientific reasoning with LLMs , including structured prompting, reasoning chains, and test-time compute. - Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows. - Build scalable model prototypes that can be deployed to solve frontier scientific problems. - Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches. What You'll Need to Succeed - PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields. - Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). - Expertise in LLM reasoning methods : in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning. - Ability to balance theoretical research with practical ML engineering to deliver scalable solutions. Bonus Points For - Research experience in causal reasoning, symbolic AI, or probabilistic programming . - Contributions to open-source LLM reasoning ### Executive Assistant - Rothy's - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Apply: https://jobs.ashbyhq.com/rothys/a95fa347-715e-40d5-925c-22016f1e7504 - Excerpt: Executive Assistant San Francisco, California, United States Executive Assistant San Francisco, CA At Rothy's, we know there's a better way to do business, and it starts by putting the planet and its people first. More than 225 million single-use plastic bottles and 715,000 pounds of ocean-bound marine plastic have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don't compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go. At Rothy's, building a sustainable future is at the heart of everything we do. We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day. About the role: Rothy's is looking for an experienced and energetic Executive Assistant to support members of our Executive Team. In this role, you'll do more than keep things moving - you'll be a trusted thought partner, helping our executives communicate with clarity, show up prepared, and lead with impact. Do you think three steps ahead, have a positive/can-do attitude, and thrive on gracefully handling multiple demands in a fast-paced environment? Are you collaborative, kind, and curious? If this sounds like you, this might be the right fit! What you'll do: - Serve as a strategic thought partner to executives - anticipating needs, connecting the dots across priorities, and helping them operate ### Senior Manager, Thought Leadership and Insights - Experian - Location: Remote | United States, UNITED STATES, United States (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.smartrecruiters.com/Experian/744000126173249-senior-manager-thought-leadership-and-insights - Excerpt: Senior Manager, Thought Leadership and Insights Remote | United States, UNITED STATES, United States Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description: We are looking for a credible Senior Manager to lead our team. You will transform advanced analytics, internal data assets, and market intelligence into compelling narratives. These narratives are data-backed and support strategic sales plans, influence industry conversations, and position us as a leader in data-driven decisioning. You will work across Analytics, Product, Sales, and Marketing. You will report to the VP of Analytics Product Build, Innovation, and Scores. You will be fully remote. You will manage our strategy, grounded in data analysis and empirical thoughtfulness. Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights. Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value. Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends. Support large strategic sales opportunities with analytical framing, benchmarks, and data‑driven proof points that strengthen value propositions. Create executive‑ready content-including industry reports, white papers, sales enablement decks, client POVs, and conference presentations. Collaborate with Data Science teams to validate ### Director, Thought Leadership and Industry Insights - Experian - Location: Remote | United States, UNITED STATES, United States (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.smartrecruiters.com/Experian/744000126170534-director-thought-leadership-and-industry-insights - Excerpt: Director, Thought Leadership and Industry Insights Remote | United States, UNITED STATES, United States Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description: We are looking for a credible Director to lead our team. You will transform advanced analytics, internal data assets, and market intelligence into compelling narratives. These narratives are data-backed and support strategic sales plans, influence industry conversations, and position us as a leader in data-driven decisioning. You will work across Analytics, Product, Sales, and Marketing. You will report to the VP of Analytics Product Build, Innovation, and Scores. You will be fully remote. You Will: Manage our strategy, grounded in data analysis and empirical thoughtfulness. Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights. Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value. Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends. Support large strategic sales opportunities with analytical framing, benchmarks, and data‑driven proof points that strengthen value propositions. Create executive‑ready content-including industry reports, white papers, sales enablement decks, client POVs, and conference presentations. Collaborate with Data Science teams to validate assumptions, ### Director, National Thought Leader Liaison - Nuvalent Inc - Location: Cambridge, MA / Remote (remote) - Salary: $216K-$252K - Posted: 2026-06-02 - Apply: https://boards.greenhouse.io/nuvalent/jobs/6008600004?gh_jid=6008600004 - Excerpt: Director, National Thought Leader Liaison Cambridge, MA / Remote The Company: With deep expertise in chemistry, Nuvalent is working to create selective medicines designed with the goal to address the needs of patients with cancer. Nuvalent is an exciting company, bringing together experienced scientists and industry veterans with a proven track record in drug discovery, oncology drug development, and company building. The Role: Reporting to the Senior Director, Thought Leader Strategy & Partnerships, the Director, Thought Leader Liaison will be a pivotal partner in Nuvalent's growing Commercial organization. This individual will spearhead the execution of the thought leader engagement as the company prepares for the market launch of Zidesamtinib and Neladalkib. The Director will be a pivotal member of the Commercial and Marketing teams. This role will provide guidance on thought leader relationships and partnerships ensuring alignment with brand objectives and coordinating end to end relationships for the Commercial organization. This individual will also support the execution of brand strategies to ensure launch readiness. Responsibilities: - Develop and execute a comprehensive Commercial engagement strategy for lung cancer thought leaders, including academic researchers, digital opinion leaders, and other key influencers. - Collaborate with internal teams to implement commercial strategies and manage interactions with key accounts, ensuring alignment with Nuvalent's business goals. - Capture valuable therapeutic and competitive insights from Thought Leaders and other key stakeholders to guide impactful field insights integration that shapes positioning, messaging, and stakeholder engagement strategies - Work closely with the Senior Director, Thought Leader Strategy to aggregate ### Full Stack Engineer (Backend Emphasis) - b12 Labs - Location: Anywhere (unspecified) - Salary: Not disclosed - Posted: 2026-01-16 - Apply: https://job-boards.greenhouse.io/b12/jobs/7544356 - Excerpt: Full Stack Engineer (Backend Emphasis) Anywhere Job Description: B12's engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We're generalists in encouraging each other to experience the full stack, but we're also aware of each other's preferences in the stack. For this role in particular, we're searching for a full-stack engineer who brings strong backend skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company. We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We've baked our research into Orchestra , the system that coordinates our expert and machine teams, and released Orchestra into open source to contribute our software back to the community. We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology: - We live on Python/Django and TypeScript/React. - We store blobs in Amazon's S3, munch on them in Amazon's EC2, develop in Docker, and deploy containers to Amazon's Elastic Beanstalk. - We believe PostgreSQL should be the first system you consider when thinking about persisting structured data. - We clean and centralize data in Amazon's Redshift, and are able to answer almost any question in SQL. ### Director, Thought Leadership - Clarivate - Location: UK - London (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://clarivate.wd3.myworkdayjobs.com/Jobs/job/UK---London/Director--Thought-Leadership_JREQ135801 - Excerpt: Director, Thought Leadership UK - London posted: Posted 8 Days Ago ### Thought Leader Liaison - Ipsen - Location: 118 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Cambridge-US/Thought-Leader-Liaison_R-21597 - Excerpt: Thought Leader Liaison 118 Locations posted: Posted 10 Days Ago ### Senior Applied Scientist , Buyer Risk Prevention (BRP) - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10435790/senior-applied-scientist-buyer-risk-prevention-brp - Excerpt: Senior Applied Scientist , Buyer Risk Prevention (BRP) Bengaluru, Karnataka, IND Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience? Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you. We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies-including Generative AI and LLMs-to build next-generation risk prevention platforms. Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Identify emerging scientific trends and translate ### Machine Learning Fellow - Human Frontier Collective (UK) - Scale AI - Location: United Kingdom (remote) - Salary: Not disclosed - Posted: 2026-02-12 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4661647005 - Excerpt: Machine Learning Fellow - Human Frontier Collective (UK) United Kingdom PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine ### Machine Learning Fellow - Human Frontier Collective (Canada) - Scale AI - Location: Canada (remote) - Salary: Not disclosed - Posted: 2026-02-13 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4661650005 - Excerpt: Machine Learning Fellow - Human Frontier Collective (Canada) Canada PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs. - HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field. - Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist. ### Senior Staff Machine Learning Engineer – Ads Prediction, Signals & Quality - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2026-01-05 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200620203/senior-staff-machine-learning-engineer-ads-prediction-signals-quality?team=SFTWR - Excerpt: Senior Staff Machine Learning Engineer – Ads Prediction, Signals & Quality Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple's values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams. This role offers the opportunity to shape the future of privacy-first advertising at Apple. You'll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers. 10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains. Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks ### Principal Delivery Consultant - AI/ML, ASEAN Professional Services - Amazon - Location: SGP (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10426014/principal-delivery-consultant-ai-ml-asean-professional-services - Excerpt: Principal Delivery Consultant - AI/ML, ASEAN Professional Services SGP The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior, experienced, and highly motivated business-oriented Principal AI/ML practitioner who possesses a unique balance of executive advisory capability, business acumen, and deep technical expertise across Generative AI, Agentic AI, and Machine Learning, with proven experience leading large-scale cloud-based transformations and implementations. AWS ProServe engages in a wide variety of strategic projects for customers and partners, bringing together AWS customer experience, best practices, and technical expertise to help organizations accelerate innovation and business outcomes. Our team collaborates across the broader AWS organization to provide customers access to product, engineering, service, and training teams, delivering scalable solutions and driving feature innovation across industries. This role will focus on advising enterprise customers on how to transform business and operational outcomes through the adoption of Generative AI, Agentic AI, and Machine Learning on AWS. As a Principal Consultant, you will act as a trusted advisor to senior business and technology leaders, shape AI and cloud transformation strategies, lead complex engagements, guide architecture best practices, and oversee the successful delivery of large-scale AI/ML and GenAI implementations with customers and partners. You will also help drive thought leadership, mentor delivery teams, and influence the evolution of AWS AI/ML professional services capabilities across the region. Key job responsibilities - Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI ### Head of Computer Vision and Machine Learning - Dexterity - Location: Redwood City (unspecified) - Salary: $160K-$220K - Posted: 2023-02-23 - Apply: https://jobs.lever.co/dexterity/c09a7805-2a30-4f94-aaf4-4547fb619047 - Excerpt: Head of Computer Vision and Machine Learning Redwood City About Dexterity: At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: MS or PhD in Computer Science, or a related discipline, or equivalent experience. 2 or more years of experience leading a team of Computer Vision or Machine Learning engineers. At least 5 years of experience in building ML datasets, data pipelines and serving architecture. Creating a culture of developing high quality models, tests and regressions Strong knowledge of Modern C++ and Python. Experience building, maintaining ### Technician 2, Manufacturing Equipment - Western Digital Corporation - Location: Bayan Lepas, Penang, Malaysia (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.smartrecruiters.com/WesternDigital/744000109184894-technician-2-manufacturing-equipment - Excerpt: Technician 2, Manufacturing Equipment Bayan Lepas, Penang, Malaysia Company Description: At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description: Responsibilities for supporting continuous production on an online support shift. Key duties include ensuring equipment performance to meet quality, yield, cost, and cycle time goals; reporting machine status and issues; conducting final product tests; maintaining 6S standards; assisting the tech team in reducing machine downtime and improving MTBA/MTBF; supporting engineers with project follow-ups; training operators on machine operation; and managing spare parts and tracking records. ESSENTIAL ### Machine Learning Scientist 4 - Content & Conversation Modeling - Netflix - Location: Seattle,Washington,United States of America | Los Gatos,California,United States of America (unspecified) - Salary: $300K-$537K - Posted: 2025-12-01 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://explore.jobs.netflix.net/careers/job/790313081060?microsite=netflix.com - Excerpt: Machine Learning Scientist 4 - Content & Conversation Modeling Seattle,Washington,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. In this role, you will: Innovate on a suite of predictive models to help inform our content strategy. Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance. Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally. Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement. Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams. Live Netflix values while bringing a new perspective ### Generative AI Inference Engineer - Stability AI - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2025-11-17 - Apply: http://stability.ai/careers?gh_jid=4712826101 - Excerpt: Generative AI Inference Engineer United States Generative AI Inference Engineer About the role: We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI. Responsibilities: - Lead efforts to drive the design, development of customer-facing multi modal ML inference systems. - Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment. - Partner with leading cloud providers to deliver hosted Stability AI inference solutions. - Be a strategic thought partner for leaders across the organization on driving business impact through machine learning - Be part of the team to bring new Stability models and pipelines into existence - Prototype and productionize inference platform improvements and new features Qualifications: - 7+ years working on productionizing machine learning systems, including inference pipeline development - Expert level knowledge on writing and running python services at scale - 5+ years working on python ### Machine Learning Engineer - Ads Relevance & Quality - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-01-05 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.apple.com/en-us/details/200620212/machine-learning-engineer-ads-relevance-quality?team=SFTWR - Excerpt: Machine Learning Engineer - Ads Relevance & Quality Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! Apple's Ads team is seeking a highly skilled and motivated Machine Learning Engineer to join the Ads Relevance and Quality team. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction. You'll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions. You'll play a key role in shaping the future of safe, high-quality advertising at Apple. Your work will help ensure that ads remain useful, relevant, and respectful of our users-supporting Apple's values of privacy, trust, and transparency. You'll collaborate with world-class engineers and researchers, apply cutting-edge ML techniques in real-world systems, and have a direct impact on the ### Equipment Technician - Manufacturing Engineering - Western Digital Corporation - Location: Bayan Lepas, Penang, Malaysia (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.smartrecruiters.com/WesternDigital/744000112570433-equipment-technician-manufacturing-engineering - Excerpt: Equipment Technician - Manufacturing Engineering Bayan Lepas, Penang, Malaysia Company Description: At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description: REQUIRED: Diploma in any Engineering PREFERRED: Work on a 12-hour shift rotation. Perform machine preventive maintenance and maintain accurate maintenance records. Act as the first line of response for unscheduled machine downtime and quality-related issues. Collaborate effectively with cross-functional departments to support operational efficiency. Able to respond to sudden changes and work effectively under pressure to restore machine operations within a short timeframe. SKILLS: Capable ### Technician 2, Manufacturing Equipment Maintenance - Western Digital Corporation - Location: Bayan Lepas, Penang, Malaysia (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.smartrecruiters.com/WesternDigital/744000130143809-technician-2-manufacturing-equipment-maintenance - Excerpt: Technician 2, Manufacturing Equipment Maintenance Bayan Lepas, Penang, Malaysia Company Description: At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description: REQUIRED: Diploma in any Engineering PREFERRED: Work on a 12-hour shift rotation. Perform machine preventive maintenance and maintain accurate maintenance records. Act as the first line of response for unscheduled machine downtime and quality-related issues. Collaborate effectively with cross-functional departments to support operational efficiency. Able to respond to sudden changes and work effectively under pressure to restore machine operations within a short timeframe. SKILLS: Capable of analyzing and ### Senior Manager, GTM Strategy & Operations - MOLOCO - Location: Menlo Park, California, United States; San Francisco, California, United States (unspecified) - Salary: $184K-$254K - Posted: 2026-03-06 - Apply: https://job-boards.greenhouse.io/moloco/jobs/7655196003 - Excerpt: Senior Manager, GTM Strategy & Operations Menlo Park, California, United States; San Francisco, California, United States About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: We are looking for a GTM Sr. Strategy Ops Manager to drive the AMER business. As a strategic thought partner for regional leaders, this role plays an instrumental role in shaping the commercial strategy and operations for Moloco's AMER business. Success ### Intern - Maintenance Technician Assistant (นักศึกษาฝึกงาน – ผู้ช่วยช่างซ่อมบำรุงเครื่องจักร) - Western Digital Corporation - Location: Amphoe Si Maha Phot, Prachin Buri, Thailand (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jobs.smartrecruiters.com/WesternDigital/744000127567458-intern-maintenance-technician-assistant- - Excerpt: Intern - Maintenance Technician Assistant (นักศึกษาฝึกงาน – ผู้ช่วยช่างซ่อมบำรุงเครื่องจักร) Amphoe Si Maha Phot, Prachin Buri, Thailand Company Description: At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description: ESSENTIAL DUTIES AND RESPONSIBILITIES: Learn and practice about Setup Machines, Repair, Preventive Maintenance and support in manufacturing and production line Learn skills in basic machine automation Learn improvement basic problem machine หน้าที่ และความรับผิดชอบ: ฝึกทำงานซ่อมแซมและการบำรุงรักษาเครื่องจักร ภายใต้ความดูแลของพี่เลี้ยงหรือหัวหน้างาน ผู้ช่วยวิศวกรตรวจสอบระบบการทำงานอัตโนมัติของเครื่องจักร ฝึกทำงานการพัฒนาและแก้ไขปัญหาพื้นฐานของเครื่องจักร This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by ### Marketing Strategist, Enterprise Initiatives & Thought Leadership - Vanguard - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://www.vanguardjobs.com/job/22983846/marketing-strategist-enterprise-initiatives-thought-leadership-malvern-pa/ - Excerpt: Marketing Strategist, Enterprise Initiatives & Thought Leadership Location not specified ### Thought Leader Liaison, Southeast - Ipsen - Location: 8 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Tennessee/Thought-Leader-Liaison--Southeast_R-21512-1 - Excerpt: Thought Leader Liaison, Southeast 8 Locations posted: Posted 24 Days Ago ### Automation Thought Leader for Middleware Products - Kyndryl - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Greater-Noida-Uttar-Pradesh-India/Automation-Thought-Leader-for-Middleware-Products_R-57984-1 - Excerpt: Automation Thought Leader for Middleware Products 2 Locations posted: Posted 30+ Days Ago ### Thought Leader Liaison, Rare Disease - Ipsen - Location: 7 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Colorado/Thought-Leader-Liaison--Rare-Disease_R-21316 - Excerpt: Thought Leader Liaison, Rare Disease 7 Locations posted: Posted 30+ Days Ago ### Thought Leader Liaison, Iqirvo, Northeast - Ipsen - Location: 5 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Massachusetts/Thought-Leader-Liaison--Iqirvo--Northeast_R-21666 - Excerpt: Thought Leader Liaison, Iqirvo, Northeast 5 Locations posted: Posted 9 Days Ago ### Thought Leader Liaison LEAD Nephrology - Biogen - Location: Remote, USA (remote) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://biibhr.wd3.myworkdayjobs.com/external/job/Remote-USA/Thought-Leader-Liaison-LEAD-Nephrology_REQ22517 - Excerpt: Thought Leader Liaison LEAD Nephrology Remote, USA posted: Posted 30+ Days Ago ### Research Scientist - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-04-05 - Apply: https://jobs.ashbyhq.com/openai/5f0c6579-0bfb-4a06-8a43-1dd371499e10 - Excerpt: Research Scientist San Francisco, California, United States By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About the Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We expect you to: - Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects - Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects - Be excited about OpenAI's approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value ### Research Engineer - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-04-05 - Apply: https://jobs.ashbyhq.com/openai/240d459b-696d-43eb-8497-fab3e56ecd9b - Excerpt: Research Engineer San Francisco, California, United States By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI. About the Role As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future. We expect you to: - Have strong programming skills - Have experience working in large distributed systems - Be excited about OpenAI's approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value ### AI Research Engineer - Foundation Models - Helsing - Location: Berlin; London; Munich; Paris (unspecified) - Salary: Not disclosed - Posted: 2026-01-26 - Apply: https://helsing.ai/jobs/4766708101?gh_jid=4766708101 - Excerpt: AI Research Engineer - Foundation Models Berlin; London; Munich; Paris Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities. We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation. You should apply if you - Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus ### Software Engineering Intern - Nox Metals - Location: US/Canada (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/nox-metals/6edc2dff-7c4b-44b8-abba-32d5953b8c5f - Excerpt: Software Engineering Intern US/Canada American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript, ### Principal, Thought Leadership Content Strategist - Adobe Inc. - Location: 5 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1 - Excerpt: Principal, Thought Leadership Content Strategist 5 Locations posted: Posted 30+ Days Ago ### Therapist, Thought Disorders Day Hospital (PRN) - Sheppard Pratt - Location: Hospital - Towson (unspecified) - Salary: Not disclosed - Posted: 2025-10-03 - Apply: https://recruiting.ultipro.com/SHE1011SPHS/JobBoard/62d52737-46c1-4699-83e3-3a1747e3b981/OpportunityDetail?opportunityId=32073f67-46df-4cac-9a04-eca57b3aa2e1 - Excerpt: Therapist, Thought Disorders Day Hospital (PRN) Hospital - Towson We are seeking a licensed counselor or social worker to provide compassionate care to individuals experiencing thought disorders. This role will collaborate with a team of highly trained professionals on an as-needed basis to support our patients as they navigate their journey towards recovery. No evening or weekend hours are required. ### Associate Director, Thought Leader Liaison - Northeast - Regeneron Pharmaceuticals - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776 - Excerpt: Associate Director, Thought Leader Liaison - Northeast 6 Locations posted: Posted 4 Days Ago ### Director, Thought Leader Liaison (Neuro) - Regeneron Pharmaceuticals - Location: Remote - United States (remote) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711 - Excerpt: Director, Thought Leader Liaison (Neuro) Remote - United States posted: Posted 4 Days Ago ### Associate Director, Thought Leader Liaison - Neurology (Northeast) - Regeneron Pharmaceuticals - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117 - Excerpt: Associate Director, Thought Leader Liaison - Neurology (Northeast) 6 Locations posted: Posted 4 Days Ago ### Senior Thought Leader Liaison, Lung - Atlanta Region - Johnson & Johnson - Location: 8 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (source-backed) - Source: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip - Apply: https://jj.wd5.myworkdayjobs.com/JJ/job/Atlanta-Georgia-United-States/Senior-Thought-Leader-Liaison--Lung---Atlanta-Region_R-068083-1 - Excerpt: Senior Thought Leader Liaison, Lung - Atlanta Region 8 Locations posted: Posted 30+ Days Ago --- Source-backed benefit claims include source links; other benefit values are labeled separately.