…Build reproducible computational workflows and automation pipelines using Python and distributed computing infrastructure. Collaborate with machine learning researchers, computational biologists, and research engineers to…

…very technical teams, including machine learning, safety and security research, infrastructure, and threat intelligence Familiarity with AI systems, machine learning concepts, or experience advising…

…very technical teams, including machine learning, safety and security research, infrastructure, and threat intel Familiarity with AI systems, machine learning concepts, or experience advising…

…You - Have 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment. - Have owned production systems with real…

…We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will…

…Experience with building and using AI (e.g., ML APIs, Machine Learning templates, RAG, LLMs). Experience in coding using Java, C++, or Python. Experience…

…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…

…ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris. Publish original research in top machine learning conferences and leading…

…Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field. Experience in distributed Machine Learning and Machine Learning infrastructure, distributed…

…Experience with Python, SQL, Airflow, dbt, and Infrastructure as Code (IaC). Experience supporting machine learning platforms, LLM/AI access, or production ML services. Experience…

…for ML/AI model development and deployment. Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure. Collaborate…

…Experience applying engineering best practices (e.g., code review, testing, refactoring). Knowledge of processor design, accelerators, or memory hierarchies and machine learning algorithms. Knowledge…

…In this role you will deliver on-device ML infrastructure with leading performance, enabling framework and device optionality at scale. You will enable on…

…Lead the end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI, from concept to…

…5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years…

…5 years of experience leading hardware/software New Product Introduction (NPI) lifecycles for machine learning infrastructure (e.g., TPU, GPU, or similar AI-compute…

…engineering and applied machine learning skills to take solutions from idea through production. You will work closely with engineering, product, data, and infrastructure partners…

…You will be working closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing machine learning solutions that…

…Experience or strong interest in Artificial Intelligence, AI Agents, Machine Learning, Large Language Models (LLMs), or prompt engineering. Experience building and integrating backend services…

…Join us to lead and collaborate with a passionate team of Machine Learning Engineers, Data Scientists, and Software Engineers, and partner with renowned research…

…Key job responsibilities * Lead a team of scientists and engineers in building scalable machine learning solutions. * Develop a vision for contextualizing and personalizing SP…

…been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with…

…the intersection of machine learning, distributed systems, and data engineering — owning end-to-end development of tools that help business leaders make faster, better…

…requirements into optimized storage solutions for AI and machine learning workloads Partner with Product Management, Engineering, and customers to accelerate solution adoption and drive…

…requirements into optimized storage solutions for AI and machine learning workloads Partner with Product Management, Engineering, and customers to accelerate solution adoption and drive…