# FewerJobs export - 100 curated jobs Generated: 2026-10-06T18:16:43.196Z Source: https://fewerjobs.com ## Filters applied - **q**: Deeptune - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **verified_benefits_only**: true - **apply_url_verified**: false - **page**: 1 - **per_page**: 100 - **sort**: relevance ## Jobs ### Fullstack Software Engineer, GenAI, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckdvshdJIR4pp4rKfETRGSmys7sT7tkoq48UTVgZCVtpWEjsACxwdTEsGqs5L3w7SqrA5virlrCl1_fH6_sqjeYw16w_tKzH4KJfuR4fejbEwPYXRCJlbQI-k7z-3OQ%3D%3D_V2&loc=US&title=Fullstack+Software+Engineer - Excerpt: Fullstack Software Engineer, GenAI, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + ### Talent Management Partner, DeepMind (Fixed-Term Contract) - DeepMind - Location: London, UK; +1 more (unspecified) - Salary: $141K-$206K - Posted: 2026-06-12 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckcC2ajMny5ZE2XvUMbT85kP88GKzV74fpsiMOPV8XeP1EjsACxwdTCXFNPq7FavJoYZ79GKP1eQiV4k9dZXq4ivmJOoxOtNJt5w0DKRLeXi85tpxFlIHxeAvNqh6Ow%3D%3D_V2&loc=GB&title=Talent+Management+Partner - Excerpt: Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits at Google . Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred ### Product Manager, Math Agents, DeepMind (Fixed Term Contract) - DeepMind - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckclHnoK9C46xPoAyNbfrzBFJv3optavgYPqzu86TmsXPEjsACxwdTL_C3DtHwsJHhCTuG2hOFkbCH7gZcINOS-bnaWG_qGXiylDY9RLsdoRckcYoes2kT1CN1Pxpaw%3D%3D_V2&loc=GB&title=Product+Manager - Excerpt: Product Manager, Math Agents, DeepMind (Fixed Term Contract) London, UK As a Product Manager on the Science team, you will work directly with research scientists, engineers, and cross-functional product development teams to define the product strategy, goal, and execution for our math agents portfolio. In this role, you will play a critical role in building and scaling these agentic systems, bridging frontier research in automated reasoning and autonomous mathematical exploration with real-world mathematical issues. You will lead the development and deployment these systems, while also steering grand issues and research efforts across the broader maths space. You will sit at the intersection of research and product, and requires technical depth, strategic insight, an ability to navigate ambiguity, and an approach to prototyping and validation. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive the product strategy, requirements, and execution for the math agents portfolio, guiding initiatives across agentic maths research and formal proving like AI co-mathematician, AlphaProof, AlphaProof Nexus, and more. Incubate new agentic capabilities and identify ### Deep Agentic Reasoning Engineer (Lorenz Labs) - Analog Devices - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/US-CA-San-Jose-Rio-Robles/Principal-Engineer--AI-ML-Software_R257953 - Excerpt: Deep Agentic Reasoning Engineer (Lorenz Labs) 2 Locations posted: Posted 30+ Days Ago ### Research Engineer, Multi Agent Learning, DeepMind - DeepMind - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUVJ_fknRwwmzUD3BRPBd4cXgsMY-CeoWW0H6HYfyIR-EjsACxwdTJpPXz94VGDBP_tRaCrEhEK8Pog-XqS-3A5DFl5KIBrdSmRFx1qBHXyXDBwSTM8pYeTNohvdPQ%3D%3D_V2&loc=GB&title=Research+Engineer - Excerpt: Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on ### Pretraining codebase SWE, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUr5aWfyvRuIa3BkLBukinjE5K_zx2786lF4ZWi2LsrBEjsACxwdTJp25kxFL83SUCSnqDGxnWaInfQnTgaioCynqOXM3Plx6GI6N6RpwERf8CT0CFwe18iOdnGmpQ%3D%3D_V2&loc=US&title=Pretraining+codebase+SWE - Excerpt: Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day ### Product Counsel, AI Regulatory, DeepMind - DeepMind - Location: New York, NY, USA; +2 more (unspecified) - Salary: $316K-$352K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckavVQL_lw4AMVDhDW_2jbHPdzA4qZ7cOLXP7S-jGMvDCEjsACxwdTA2b14eag6rVi3HTCa52O2czgd1LoBQj8b9UFuVl2E_5gImHnChvyQu5xizp1oI4SFeC_Ajq_Q%3D%3D_V2&loc=US&title=Product+Counsel - Excerpt: Product Counsel, AI Regulatory, DeepMind New York, NY, USA; +2 more The DeepMind Legal team is seeking a Product Counsel to partner with our AI research, product, and cross-functional teams to provide strategic advice and support for launches and regulatory and litigation matters. As a trusted advisor to the business, you will collaborate with legal, policy, regulatory, and compliance teams across the company at the intersection of advanced AI and emerging laws to advance the missions of DeepMind and Google. In doing so, you will use AI tools to supercharge you and your team's work. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $316000 - $352000 (USD) + 25% bonus target + bonus + equity + benefits US: $344000 - $383000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Advise DeepMind's research and product teams on the broad range of legal and ### Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center - Amazon - Location: Seoul, KOR (unspecified) - Salary: Not disclosed - Posted: 2026-03-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center - Excerpt: Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them ### Senior Data Scientist, GeminiApp, DeepMind - DeepMind - Location: Mountain View, CA, USA; +2 more (unspecified) - Salary: $232K-$253K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckeSwlJrm1k10DI04kCiVZlidBtuyWnSUoIO-KTKoX_bsEjsACxwdTK6tlGamsT1XnF3F-sR-_abCwaRm_50KJWq7WNoGjQbTKOte5Gcx05vEFjwMSDr5zO8Kpz1tMg%3D%3D_V2&loc=US&title=Senior+Data+Scientist - Excerpt: Senior Data Scientist, GeminiApp, DeepMind Mountain View, CA, USA; +2 more Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies. Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. Advocate data-driven culture by feeding user engagement insights back into models. Collaborate with the GenAI team on model quality and feature adoption. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative ### Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUdHMNQuPZps7QwsaQVVdPXlxPCKmFFNubll-lcgH7wOEjsACxwdTJfWF0oYSLDkHM6WLLpcfT9jpoYE-_o8bnYDEmyHlF8IYz5XqsxIVIM8Uc9oCeQBLNf7hpRArQ%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. In this role, you will be focused on building Google's next-generation AI assistant. You will empower billions of people by offering personalized products that serve as a seamless extension of their intellect. You will help build a personal AI assistant that continuously absorbs, organizes, and effortlessly recalls the unique interests, passions, and curiosities of individuals, evolving alongside them to amplify their everyday thinking. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit ### Software Engineer, Robin Core Experience on iOS, DeepMind - DeepMind - Location: Mountain View, CA, USA; +1 more (unspecified) - Salary: $174K-$253K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckfEF9zUZw2YQiOxQGugPc202zd01AEVHRiKap69_SlqPEjsACxwdTPQiIq3MBvVgsV0k2EduTfczcDOGenPeHmIuOofp9g8x8wcOKsScB-WCVf9Y9VuklHo6yChdkw%3D%3D_V2&loc=US&title=Software+Engineer - Excerpt: Software Engineer, Robin Core Experience on iOS, DeepMind Mountain View, CA, USA; +1 more As a part of the team building the Web, Android, and iOS Gemini app, one of the main ways users access the power of Large Language Model (LLMs) and collaborate with innovative developers, designers and UX professionals in small, fast-moving pods to create products used by millions. In this role, you will work side by side with Product and UX in a creative, self-sufficient environment, staying consistently ahead of the curve on development platforms, new functionality and APIs.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Design, build, and deliver compelling new features for Gemini's applications, prioritizing both performance and seamless user experiences. Work closely with cross-functional teams (design, product, modeling specialists) to translate user needs into ### Senior Technical Program Manager Lead, Gemini Audio, DeepMind - DeepMind - Location: Mountain View, CA, USA; +1 more (unspecified) - Salary: $300K-$334K - Posted: 2026-06-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZByqyrY3aPTgBdsLkn4cHkIRDkIsXpk0v3v0GRWEXVKEjsACxwdTAgaX5Tfu6AtCPriuLVNUsKy-lK0JwTBiPz2CHl6z2zgNjr5DfBidA7w-Vwqni1wCXyrlk5KeQ%3D%3D_V2&loc=US&title=Senior+Technical+Program+Manager+Lead - Excerpt: Senior Technical Program Manager Lead, Gemini Audio, DeepMind Mountain View, CA, USA; +1 more Join our team and dive into one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on end-to-end model quality. You will be closely collaborating with Researchers, Data Scientists, serving/deployment, and product teams to ensure high-quality model deliveries. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $300000 - $334000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with modeling and capability teams to track training priorities, analyze evaluation and experimentation results, and coordinate feedback to improve models. Apply deep AI evaluation methodologies, working with data scientists to design and execute evals and perform loss analysis to measure and improve model quality. Manage the entire release cycle, including checkpoint uploads, documentation, deployment/serving coordination, ### Werkstudent (m/w/d) Innovation & Omnichannel - Amgen - Location: Germany - Munich (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/Germany---Munich/Werkstudent--m-w-d--Innovation---Omnichannel_R-246744 - Excerpt: Werkstudent (m/w/d) Innovation & Omnichannel Germany - Munich posted: Posted 9 Days Ago ### Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H - GE Vernova - Location: Villeurbanne (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Villeurbanne/Alternant-e--Lean---Amlioration-continue-High-Voltage-Technology-Research-Center-F-H_R5038233-2 - Excerpt: Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H Villeurbanne posted: Posted 30+ Days Ago ### Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H - GE Vernova - Location: Villeurbanne (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Villeurbanne/Alternant-e--Lean---Amlioration-continue-High-Voltage-Technology-Research-Center-F-H_R5043368-3 - Excerpt: Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H Villeurbanne posted: Posted 11 Days Ago ### Intermediate Backend Engineer, Database Automation (Ruby) - GitLab - Location: Remote, India (remote) - Salary: Not disclosed - Posted: 2026-04-20 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8481029002 - Excerpt: Intermediate Backend Engineer, Database Automation (Ruby) Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer in the Database Automation team, you'll develop and enhance the frameworks, patterns, and tooling that keep GitLab's application datastores scalable, healthy, and safe across GitLab.com and ### STAGIAIRE - Ingénieur Digitalisation de la traçabilité Qualité - Access VBA SQL & Python Industrie 4.0- H/F - GE Vernova - Location: Aix-les-Bains (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Aix-les-Bains/STAGIAIRE---Ingnieur-Digitalisation-de-la-traabilit-Qualit---Access-VBA-SQL---Python--Industrie-40--H-F_R5043861-2 - Excerpt: STAGIAIRE - Ingénieur Digitalisation de la traçabilité Qualité - Access VBA SQL & Python Industrie 4.0- H/F Aix-les-Bains posted: Posted 9 Days Ago ### ML Compiler Engineer, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-05-21 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10427132/ml-compiler-engineer-annapurna-labs - Excerpt: ML Compiler Engineer, Annapurna Labs Cupertino, California, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. In this role as a ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization. As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system. This includes but is not limited to instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design. Annapurna Labs (our organization within AWS UC) 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 ### Senior Backend Engineer (C), Tenant Scale: Git - GitLab - Location: Remote, India (remote) - Salary: Not disclosed - Posted: 2026-04-14 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8497791002 - Excerpt: Senior Backend Engineer (C), Tenant Scale: Git Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on the Tenant Scale: Git team, you'll help improve one of the most widely used foundations of modern software development. Git is at the core ### Machine Learning Services Engineer - Firefly - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Services-Engineer---Firefly_R164500 - Excerpt: Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago ### Machine Learning Engineer - Evergreen - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1 - Excerpt: Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago ### Staff Backend Engineer (Ruby on Rails/AI), Verify - GitLab - Location: Remote, United Kingdom (remote) - Salary: Not disclosed - Posted: 2026-03-09 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8448283002 - Excerpt: Staff Backend Engineer (Ruby on Rails/AI), Verify Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a central role in ### Staff ML Engineer, Fine Tuning - Slack - Slack - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115 - Excerpt: Staff ML Engineer, Fine Tuning - Slack 3 Locations posted: Posted 14 Days Ago ### Machine Learning Engineer, AWS Neuron Inference, Annapurna ML - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2025-12-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3147714/machine-learning-engineer-aws-neuron-inference-annapurna-ml - Excerpt: Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an ### Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-10-31 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3119465/machine-learning-compiler-engineer-aws-neuron-annapurna-labs - Excerpt: Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented ### ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2025-08-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3055108/ml-compiler-engineer-ii-neuron-kernel-interface-annapurna-labs - Excerpt: ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing ### Staff ML Engineer, Fine Tuning - Slack - Salesforce - Location: Washington - Seattle; Georgia - Atlanta; California - San Francisco (unspecified) - Salary: $238K-$345K - Posted: 2026-05-29 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://careers.salesforce.com/en/jobs/jr344115/staff-ml-engineer-fine-tuning-slack/ - Excerpt: Staff ML Engineer, Fine Tuning - Slack Washington - Seattle; Georgia - Atlanta; California - San Francisco *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES* Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product experiences - from summarization and search ranking to generative AI features used by millions daily. This role is hands-on: you'll work at a low level with training frameworks, optimize model architectures, build finetuning pipelines, and own the full lifecycle from experiment to production. At Slack, that impact can be huge: We have over 10 million daily active users relying on our product. At peak usage, a million messages a minute pass through Slack. During the week, our users spend over a billion minutes a day active in our product. Machine learning engineers at Slack ship models that serve millions of users daily. This role owns that end-to-end: finetuning models for Slack's NLP tasks and putting them into production with the rigor and reliability our users expect. We're not looking for someone who hands off a checkpoint - we want someone who sees it through to serving traffic. Broader ML skills - data pipelines, experimentation, feature engineering - are valuable here too, but deep training and productionization expertise is the core of this role. This is a practical machine learning team, not a research team. Our ### Software Engineer II- AI/ML, AWS Neuron - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-03-24 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10375046/software-engineer-ii-ai-ml-aws-neuron - Excerpt: Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of ### Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference - Excerpt: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection ### Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-11-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3128924/software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work ### Vice President, Data & Insights - GitLab - Location: Remote, US (remote) - Salary: Not disclosed - Posted: 2026-04-17 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8510676002 - Excerpt: Vice President, Data & Insights Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of This Role GitLab is seeking a VP of Data and Insights to lead the strategic vision, architecture, and execution of our enterprise data platform and analytics capabilities. Reporting to the CIO, you'll oversee a ### AI Transformation Consultant - Fiserv - Location: Omaha, Nebraska (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510 - Excerpt: AI Transformation Consultant Omaha, Nebraska posted: Posted 11 Days Ago ### Senior Staff Software Engineer, Agentic Data Tooling, DeepMind - DeepMind - Location: New York, NY, USA; +2 more (unspecified) - Salary: $262K-$365K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckW4sXhvjUJPywfKfB5mxl12ehcltv95N22l8NDLEB1JeEjsACxwdTEHfYkikkn_uU1T8DSsnCo-iOlsjScHTKR_hbaXmCZ4kG2kbb9MulT7FcITzGRE5ZryvKjyM1Q%3D%3D_V2&loc=US&title=Senior+Staff+Software+Engineer - Excerpt: Senior Staff Software Engineer, Agentic Data Tooling, DeepMind New York, NY, USA; +2 more At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses, ### Backend Engineer, Analytics Instrumentation (Golang) - GitLab - Location: Remote, India (remote) - Salary: Not disclosed - Posted: 2026-03-27 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8481929002 - Excerpt: Backend Engineer, Analytics Instrumentation (Golang) Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer, you'll guide the design and development of backend systems that help the company identify customer usage patterns across GitLab SaaS and Self-Managed deployments. That data informs product ### AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services - Amazon - Location: The Hague, South Holland, NLD (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services - Excerpt: AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The Hague, South Holland, NLD AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, ### Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-10-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3098687/senior-software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to ### VP, Technical Support Engineering - Slack - Slack - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Illinois---Chicago/VP--Technical-Support-Engineering---Slack_JR334931 - Excerpt: VP, Technical Support Engineering - Slack 6 Locations posted: Posted 30+ Days Ago ### Engineer, Software Infrastructure - Analog Devices - Location: Romania, Cluj-Napoca (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/Romania-Cluj-Napoca/Engineer--Software-Infrastructure_R262331 - Excerpt: Engineer, Software Infrastructure Romania, Cluj-Napoca posted: Posted 30+ Days Ago ### Machine Learning - Compiler Engineer II, Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10418953/machine-learning-compiler-engineer-ii-annapurna-labs - Excerpt: Machine Learning - Compiler Engineer II, Annapurna Labs Seattle, Washington, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide ### Senior UCIe PHY Expert, MLA Technology - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $159K-$215K - Posted: 2026-04-07 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10385469/senior-ucie-phy-expert-mla-technology - Excerpt: Senior UCIe PHY Expert, MLA Technology Austin, Texas, USA Annapurna Labs (our organization within AWS UC) 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. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Machine Learning Accelerator (MLA) Technology is seeking a UCIe PHY expert who is interested in diving deep into the definition, design, validation, and data center operation of AWS's next generation machine learning silicon and servers. As a senior member of our technology team, you will have opportunities to participate in the design and execution of UCIe, SERDES, and general high speed analog technologies, with the goal of creating the most stable machine learning platforms within AWS's data centers. A senior UCIE engineer on our team needs to be able to work with vendors and internal design teams, understand UCIe timings and features, write/modify tests at scale, debug fleet wide issues, and collect data from manufacturing and the data center. Our broader team has end to end ownership of some of the most complicated IPs on the most advanced server hardware in the world. We drive complex technical debug efforts involving our IPs and leverage the massive ### Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack - Slack - Location: 4 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Senior-Staff-Software-Engineer--Machine-Learning-Infrastructure--Slack_JR329145-2 - Excerpt: Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack 4 Locations posted: Posted 30+ Days Ago ### Gemini Audio Research Scientist, DeepMind - DeepMind - Location: New York, NY, USA; +1 more (unspecified) - Salary: $174K-$253K - Posted: 2026-06-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSuO9eE4rvKxzoqwMTCxSNahseZQw7ub9MGMP8fVzfl-EjsACxwdTI6aUCwSaHW-pMnFCXvsFIg35GrhdF5eLjSksAEBiv3OGuvDJFHPj08i5VutjVcOTDGHAXk8Hw%3D%3D_V2&loc=US&title=Gemini+Audio+Research+Scientist - Excerpt: Gemini Audio Research Scientist, DeepMind New York, NY, USA; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse ### Frontier AI Strategy Principal, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $284K-$316K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUyTpYWoL_6GNYw-KLhh7kCOg9KPDNru1VCRtNzK7qeQEjsACxwdTA4Yiix_mUc1uQXH42N49fY0qyehRJHxdb1CTevayjHw5buNvrIjINA5E_yaYGPo5kqV4xfjog%3D%3D_V2&loc=US&title=Frontier+AI+Strategy+Principal - Excerpt: Frontier AI Strategy Principal, DeepMind Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offers learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $284000 - $316000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with DeepMind teams (e.g., Research, Product, Science, and other cross-functional groups) to accelerate paths to impact for DeepMind Research. Build trusted relationships across DeepMind to deliver outsized collective impact. Drive strategic, business, commercialization, productization analysis and insights across a variety of AI-native domains. Ensure timely, impactful, and quality delivery. Translate into clear recommendations and deliver with influence and credibility to DeepMind's executives on pivotal decisions. Execute through to delivery of demonstrable impact, which will require this person to show up at all times with curiosity, intellectual rigour, honesty, respect and humility. Minimum qualifications: Bachelor's degree or equivalent practical experience. 13 years of experience in business and product strategy. 2 years of Frontier AI ### Visual Designer, AIUX, DeepMind - DeepMind - Location: San Francisco, CA, USA (unspecified) - Salary: $159K-$231K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVCxJUcmAhINMmihMyMc0z8O8eYz_yqpaWklEI0F3ZqkEjsACxwdTM_-qt53Ywu4t6E19_HMleWibu2O5hjVz1yRcnOC4uszqwD2wRg4ScDimNRqshwsqqzDGbhDoA%3D%3D_V2&loc=US&title=Visual+Designer - Excerpt: Visual Designer, AIUX, DeepMind San Francisco, CA, USA At Google, we "Focus on the user and all else will follow." Our Visual Designers weave space, typography, color, and iconography to help people successfully navigate our products, ensuring they are beautiful and accessible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to leverage user insights and create industry-leading products. As a Visual Designer, you will rely on user-centered design methods to craft industry-leading user experiences from concept to execution. You will collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead visual design direction from early ideation and concept development through to compelling, high-fidelity proofs-of-concept. ### Senior ML Kernel Performance Engineer - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 151K-252K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer - Excerpt: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed ### Senior Computer Scientist ( Python) - Adobe Inc. - Location: Noida (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Lead-Engineer_R166868-1 - Excerpt: Senior Computer Scientist ( Python) Noida posted: Posted 29 Days Ago ### Intermediate Backend Engineer (C), Tenant Scale: Git - GitLab - Location: Remote, India (remote) - Salary: Not disclosed - Posted: 2026-04-14 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8497793002 - Excerpt: Intermediate Backend Engineer (C), Tenant Scale: Git Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Tenant Scale: Git team, you'll help improve one of the most widely used foundations of modern software development. Git is at the core of ### Sr. Prompt Engineer, TSE - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-04-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10389907/sr-prompt-engineer-tse - Excerpt: Sr. Prompt Engineer, TSE Bengaluru, Karnataka, IND Prompt engineering combines creativity and technical expertise to design precise instructions that guide Generative AI models and Large Language Models (LLMs) toward producing exceptional results. As a Prompt Engineer, you will own the complete prompt lifecycle-from initial concept through production deployment. Your responsibilities will include developing production-grade Python code for data processing, managing CI/CD pipelines, and architecting contextual frameworks that enhance AI performance. You'll serve as the critical bridge between human intent and machine understanding, transforming complex requirements into clear, effective prompts that unlock the full potential of next-generation AI systems. This pioneering position offers the opportunity to advance prompt engineering methodologies while continuously discovering innovative approaches to maximize generative AI capabilities. If you're passionate about leveraging AI to address real-world challenges and eager to shape the future of artificial intelligence, we invite you to join us in this rapidly evolving field. Key job responsibilities - You will design prompts, guiding large language models to generate specific, accurate and exceptional responses. - You will handle the context engineering that is required to deliver best in class prompts - You will be responsible for delivering production ready python codes via CI/CD pipelines that will enable the delivery of best prompts - You will wield the power of words, crafting concise and creative prompts that steer AI towards the desired outcome, fine-tuning results and ensuring accuracy. - You will work closely with Product Leads, Data engineers, Developers, and other creative minds to understand needs and ### Principal AI Engineer (Prisma Browser - Agents Platform) - CyberArk - Location: Office - Israel - Tel Aviv (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Engineer--Prisma-Browser---Agents-Platform-_JR-009239 - Excerpt: Principal AI Engineer (Prisma Browser - Agents Platform) Office - Israel - Tel Aviv posted: Posted 15 Days Ago ### Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $159K-$215K - Posted: 2026-04-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs - Excerpt: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server 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 custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ### Machine Learning Engineer - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868 - Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago ### Staff Software Engineer, Gemini Evals, GenAI, DeepMind - DeepMind - Location: Mountain View, CA, USA; +1 more (unspecified) - Salary: $207K-$301K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSKWOfGfWh2vaEmScS46ZHoHy9Cf3sn_abIPcM_sJJmaEjsACxwdTDaD6XZIeseek3i8xMMXsiUGMR9UiTw_5HZg_IT_xANAx-AnwEsjIt4TbMlm6BPu2lImmvGJ1A%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Gemini Evals, GenAI, DeepMind Mountain View, CA, USA; +1 more At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% ### Machine Learning Engineer - II - Adobe Inc. - Location: 2 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) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946 - Excerpt: Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago ### Machine Learning Engineer - CyberArk - Location: Office - USA - CA - Headquarters (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194 - Excerpt: Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago ### Senior Software Development Engineer - Big Data and Spark - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Senior-Software-Development-Engineer---Biga-Data-and-Spark_R166669 - Excerpt: Senior Software Development Engineer - Big Data and Spark Bucharest posted: Posted 30+ Days Ago ### Staff Product Data Scientist - Slack - Slack - Location: 4 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/California---San-Francisco/Director-of-Data-Science---Slack_JR326821-2 - Excerpt: Staff Product Data Scientist - Slack 4 Locations posted: Posted 30+ Days Ago ### Principal Machine Learning Engineer - Evisort AI - Workday, Inc. - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981 - Excerpt: Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago ### Frigoriste - Raytheon Technologies - Location: CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/CA-QC-LONGUEUIL-J01--1000-Blvd-Marie-Victorin--J01-BLDG/Frigoriste_01841424 - Excerpt: Frigoriste CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 30+ Days Ago ### AI Data Associate with Dutch , Artificial General Intelligence Data Services - Amazon - Location: London, England, GBR (unspecified) - Salary: Not disclosed - Posted: 2026-05-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services - Excerpt: AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate ### Senior Software Engineer- Secure AI Agent - CyberArk - Location: Office -Bulgaria - CyberArk Sofia (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office--Bulgaria---CyberArk-Sofia/Senior-Software-Engineer--Secure-AI-Agent_JR-018137 - Excerpt: Senior Software Engineer- Secure AI Agent Office -Bulgaria - CyberArk Sofia posted: Posted 14 Days Ago ### Senior Applied Scientist, Annapurna ML - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $192K-$260K - Posted: 2026-04-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10388673/senior-applied-scientist-annapurna-ml - Excerpt: Senior Applied Scientist, Annapurna ML Seattle, Washington, USA The Annapurna ML team is looking for a Senior Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of Annapurna innovation for advanced ML capabilities, and is the underpinning of Generative AI. As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted scientist, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job ### Principal Engineer, AI/ML Software - Analog Devices - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/US-CA-San-Jose-Rio-Robles/Principal-Engineer--AI-ML-Software_R260367 - Excerpt: Principal Engineer, AI/ML Software 2 Locations posted: Posted 30+ Days Ago ### Frontend Developer Power Studio - Analog Devices - Location: Ireland, Limerick (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Frontend-Developer-Power-Studio_R258361 - Excerpt: Frontend Developer Power Studio Ireland, Limerick posted: Posted 30+ Days Ago ### Principal Malware Reverse Engineer - CyberArk - Location: Office - Netherlands - Amsterdam - The Valley (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Netherlands---Amsterdam---The-Valley/Principal-Malware-Reverse-Engineer_JR-018330 - Excerpt: Principal Malware Reverse Engineer Office - Netherlands - Amsterdam - The Valley posted: Posted 8 Days Ago ### Research Engineer, Pretraining, DeepMind - DeepMind - Location: New York, NY, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSqbk8O_UBMke1PrcO5R81HM7xy9Fzq_C0bQRVVVFADJEjsACxwdTB62i8R0jumWJDlQoL-yDgVDCYUyKXb2AolbkxhdIr1K3Q7X5LzFuaBr4qGuJRbb82bUkupeIg%3D%3D_V2&loc=US&title=Research+Engineer - Excerpt: Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on ### Machine Learning Engineer - 5 - Adobe Inc. - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1 - Excerpt: Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago ### Vice President, Finance Strategy & Operations - GitLab - Location: Remote, US (remote) - Salary: Not disclosed - Posted: 2026-03-20 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8467198002 - Excerpt: Vice President, Finance Strategy & Operations Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of This Role GitLab is seeking a VP of Finance Strategy & Operations to lead the strategic and operational evolution of our Finance function while serving as the CFO's chief operating partner as we ### Senior Software Engineer with Python, Team SIA - CyberArk - Location: Office -Bulgaria - CyberArk Sofia (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office--Bulgaria---CyberArk-Sofia/Senior-Software-Engineer-with-Python--Team-SIA_JR-018182 - Excerpt: Senior Software Engineer with Python, Team SIA Office -Bulgaria - CyberArk Sofia posted: Posted Today ### Senior Machine Learning Engineer - Amgen - Location: United States - Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361 - Excerpt: Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago ### Senior Backend Engineer (Ruby on Rails), Plan: Knowledge - GitLab - Location: Remote, Americas; Remote, APAC; Remote, EMEA (remote) - Salary: Not disclosed - Posted: 2026-03-11 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8455304002 - Excerpt: Senior Backend Engineer (Ruby on Rails), Plan: Knowledge Remote, Americas; Remote, APAC; Remote, EMEA GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer (Ruby on Rails) on the Plan: Knowledge group , you'll help shape how teams plan, document, and share knowledge in ### ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-03-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the ### AI Data Associate with French, Artificial General Intelligence – Data Services - Amazon - Location: Amman, JOR (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10425105/ai-data-associate-with-french-artificial-general-intelligence-data-services - Excerpt: AI Data Associate with French, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose ### Technical Developer II - Converse - Nike, Inc. - Location: NIKE VIETNAM HQ (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://nike.wd1.myworkdayjobs.com/nke/job/NIKE-VIETNAM-HQ/Technical-Developer-II---Converse_R-83990 - Excerpt: Technical Developer II - Converse NIKE VIETNAM HQ posted: Posted 29 Days Ago ### VP Engineering, Vertical Commerce Software - Fiserv - Location: Sunnyvale, California (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://fiserv.wd5.myworkdayjobs.com/EXT/job/Sunnyvale-California/VP-Engineering--Vertical-Commerce-Software_R-10393323 - Excerpt: VP Engineering, Vertical Commerce Software Sunnyvale, California posted: Posted 7 Days Ago ### Alternant(e) LEAN H/F - GE Vernova - Location: Villeurbanne (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Villeurbanne/Alternant-e--LEAN-H-F_R5007446-2 - Excerpt: Alternant(e) LEAN H/F Villeurbanne posted: Posted 30+ Days Ago ### Forward Deployed AI Engineer - Adobe Inc. - Location: Tokyo (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040 - Excerpt: Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago ### Staff Software Engineer - Secure AI agents - CyberArk - Location: Office -Bulgaria - CyberArk Sofia (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office--Bulgaria---CyberArk-Sofia/Staff-Software-Engineer---Secure-AI-agents_JR-018193 - Excerpt: Staff Software Engineer - Secure AI agents Office -Bulgaria - CyberArk Sofia posted: Posted 14 Days Ago ### STAGE - Développeur Full Stack Python - GE Vernova - Location: Aix-les-Bains (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Aix-les-Bains/Dveloppeur-Full-Stack-Python_R5002053-2 - Excerpt: STAGE - Développeur Full Stack Python Aix-les-Bains posted: Posted 30+ Days Ago ### Senior AI Agent Engineer - GE Vernova - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2 - Excerpt: Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago ### Staff Software Engineer, Data Ingestion - Slack - Slack - Location: 8 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-27 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Virginia---Washington-DC-Metro---Remote/Staff-Software-Engineer--Data-Ingestion---Slack_JR343346 - Excerpt: Staff Software Engineer, Data Ingestion - Slack 8 Locations posted: Posted 16 Days Ago ### Senior Agentic AI Engineer - Adobe Inc. - Location: Yerevan (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482 - Excerpt: Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago ### Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059992/sr-ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at ### Principal Engineer Conversational AI - CVS Health Corporation - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1 - Excerpt: Principal Engineer Conversational AI 2 Locations posted: Posted 11 Days Ago ### Software Engineer II, Annapurna Labs ML Acceleration System Software - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-04-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10407389/software-engineer-ii-annapurna-labs-ml-acceleration-system-software - Excerpt: Software Engineer II, Annapurna Labs ML Acceleration System Software Austin, Texas, USA Annapurna Labs 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. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team ### Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-09-03 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3072218/software-engineering-manager-ml-kernel-performance-aws-neuron-annapurna-labs - Excerpt: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products ### AI Software Engineer - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/AI-Software-Engineer_R168326 - Excerpt: AI Software Engineer Bucharest posted: Posted 30+ Days Ago ### Senior AI Software Developer - NXP Semiconductors - Location: Brno (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://nxp.wd3.myworkdayjobs.com/Careers/job/Brno/Senior-AI-Software-Developer_R-10062601-1 - Excerpt: Senior AI Software Developer Brno posted: Posted 7 Days Ago ### Computer Scientist ( Python ) - Adobe Inc. - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Advanced-Analytics---Reporting-Analyst_R167740-1 - Excerpt: Computer Scientist ( Python ) Bangalore posted: Posted Today ### Director, Data Science, Personalization, Gemini App, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $384K-$428K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckbb0AS5KTFqaOpj-Nt8ij_j3vmwMXm-FxdVcHDGeW6YVEjsACxwdTG_EO_tLJbR8e-UdyRXRY3ZkrlRx_53d91KJLkt8GXlNfTa2tM1t6sOoZqrFe3QJu6LbiFxCMw%3D%3D_V2&loc=US&title=Director - Excerpt: Director, Data Science, Personalization, Gemini App, DeepMind Mountain View, CA, USA As the Personalization Data Science Director for GeminiApp, you will be responsible for creating a personalized AI experience for our users. This critical role requires a leader capable of navigating novel and highly ambiguous problems in a fast-paced environment. You will drive a strategic shift in our operations, evolving our understanding of performance beyond isolated metrics to a holistic view that connects development directly to long-term product success. You will enable our product and engineering teams to release high quality features and move fast by developing personalization measurements and insights that drive user growth. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $384000 - $428000 (USD) + 30% bonus target + bonus + equity + benefits Learn more about benefits at Google . Define and lead a strategic shift in personalization measurement, moving beyond isolated metrics to a holistic framework, ### Senior Scientist - Artificial Intelligence - GE Vernova - Location: Niskayuna (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2 - Excerpt: Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago ### Junior Python Developer - Leidos - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Parental leave: 4 weeks (not source-backed) - Non-birth-parent leave: 4 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://leidos.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Junior-Python-Developer_R-00183794-1 - Excerpt: Junior Python Developer 2 Locations posted: Posted 10 Days Ago ### Sr. Software Engineer, Cloud Network - Slack - Slack - Location: Virginia - Washington DC Metro - Remote (remote) - Salary: Not disclosed - Posted: 2026-05-26 - Parental leave: 26 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Virginia---Washington-DC-Metro---Remote/Sr-Software-Engineer--Cloud-Network---Slack_JR341725 - Excerpt: Sr. Software Engineer, Cloud Network - Slack Virginia - Washington DC Metro - Remote posted: Posted 17 Days Ago ### Princ Engr-AI Science - Verizon Communications - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 8 weeks (not source-backed) - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://verizon.wd12.myworkdayjobs.com/verizon-careers/job/Chennai-India/Princ-Engr-AI-Science_R-1096295 - Excerpt: Princ Engr-AI Science 2 Locations posted: Posted 2 Days Ago ### Staff AI/ML Engineer - Edge AI System - Analog Devices - Location: 6 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132 - Excerpt: Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago ### Senior Software Engineer, Gemini Live, DeepMind - DeepMind - Location: New York, NY, USA; +1 more (unspecified) - Salary: $174K-$253K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckeAYJbP6WnE3dsIJ5GMnLZ-bF2ORDQxjunrzOn-pmy_EEjsACxwdTEWh9KJhHYtEub-4yYgY1UtDtrcBliCwoqZU_ySEBkUizntAeKDfbnUibOIE6TTBut89Qq1GCw%3D%3D_V2&loc=US&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Gemini Live, DeepMind New York, NY, USA; +1 more Be the go-to, top of mind multimodal Artificial Intelligence assistant destination for users who want to ask or show something to their Artificial Intelligence assistant. Build daily habits by delivering the sounding board, truly helping users who seek advice about family, school, or work. Enable Live to give lightning fast responses for simple information seeking questions, or go as deep as any expert on any topic for queries. Build out productivity experiences so Gemini Live can be an indispensable part of managing your day-to-day life. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code ### People Partner, GeminiApp, DeepMind (Fixed-Term Contract) - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $171K-$248K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckc4bpS1m74hdoy7w6NZaAs5HGN7pY2_HZYzkTP1vcAI9EjsACxwdTK766Rz8GhlSMGwBm6Ft5igTxHN5K56-UpgLXp9fcCgp4SW0li7BaWSC_rTzUZsPJuJtvMFNSg%3D%3D_V2&loc=US&title=People+Partner - Excerpt: People Partner, GeminiApp, DeepMind (Fixed-Term Contract) Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $171000 - $248000 (USD) + 20% bonus target Learn more about benefits at Google . Drive business strategy and outcomes. Understand the organization's product, business and goals, and drive people strategies and tactics to support it. Deliver high impact solutions to issues including organization design and leadership capability, ensuring alignment with goals. Partner with and coach executive leaders to develop their skills and improve team and organizational performance. Act with confidence and strong judgement in an inspiring and changing environment, instilling trust in everyone you interact with, and delivering thoughtful, bespoke and creative solutions. Be proactive and adaptable, anticipating and addressing issues before they arise. Utilize a data driven approach to partnering. Minimum qualifications: Bachelor's degree or equivalent practical experience. 9 years of experience working as a human resources (HR) business partner or ### Alternant.e en développement logiciel embarqué C++ - H/F - GE Vernova - Location: Villeurbanne (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 10 weeks (not source-backed) - Non-birth-parent leave: 10 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Villeurbanne/Alternante-en-dveloppement-logiciel-embarqu-C-----H-F_R5040338-2 - Excerpt: Alternant.e en développement logiciel embarqué C++ - H/F Villeurbanne posted: Posted 30+ Days Ago ### Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-04-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10387516/software-engineer-ml-acceleration-annapurna-labs-ml-acceleration-system-software - Excerpt: Software Engineer ML Acceleration, Annapurna Labs ML Acceleration System Software Austin, Texas, USA In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We help to maintain and manufacture the most advanced servers in the world. We touch technologies from the accelerator inner-workings to the I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C/C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix ### Senior Machine Learning Engineer - Adobe Inc. - Location: 3 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) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334 - Excerpt: Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago ### AI Focused Strata Domain Consultant - CyberArk - Location: Office - Japan - Tokyo (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Japan---Tokyo/Domain-Consultant-2_JR-010820-1 - Excerpt: AI Focused Strata Domain Consultant Office - Japan - Tokyo posted: Posted 30+ Days Ago --- Source-backed benefit claims include source links; other benefit values are labeled separately.