Thought Machine jobs

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 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 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 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 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 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 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) 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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