Deeptune jobs

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) 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) 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) 2 Locations posted: Posted 30+ Days Ago

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 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 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 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 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 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 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 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 Germany - Munich posted: Posted 9 Days Ago

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 Villeurbanne posted: Posted 11 Days Ago

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 Aix-les-Bains posted: Posted 9 Days Ago

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 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 Bucharest posted: Posted 30+ Days Ago

Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago

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 3 Locations posted: Posted 14 Days Ago

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