- General Motors (Mountain View, CA)
- …innovation at global scale. **The Role** **:** As an Early Career Machine Learning Engineer , you will contribute to the development of end-to-end AI/ ML systems ... + Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) + Contribute to the… more
- Genentech (South San Francisco, CA)
- …cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within ... to support collaboration and deployment. + Collaborate closely with ML engineers and data scientists to understand...+ Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide… more
- General Motors (Sacramento, CA)
- …as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model ... including training loop development and optimization. + Streamline integration and create ML infrastructure, metrics, and data pipelines for production model… more
- Google (Sunnyvale, CA)
- …project strategy, machine learning ( ML ) design, and optimizing industry ML infrastructure (eg, model deployment, model evaluation, data processing, ... Senior Staff Software Engineer , Generative AI, Agentic AI _corporate_fare_ Google _place_...ML design, quality hillclimbing, optimizing and scaling the ML models (eg, model deployment, model evaluation, data… more
- Meta (Menlo Park, CA)
- …(NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into ... path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.At… more
- Google (Sunnyvale, CA)
- Software Engineer III, Machine Learning Infrastructure, Core _corporate_fare_ Google _place_ Sunnyvale, CA, USA; New York, NY, USA **Mid** Experience driving ... with machine learning algorithms and tools, building production quality Machine Learning ( ML ) systems and infrastructure. + 1 year of experience with software… more
- Google (Mountain View, CA)
- …. **About the role:** We're looking for a Senior Machine Learning Engineer to join our team. In this role, you will be responsible ... opportunity to lead model building and development across diverse ML domains such as time series analysis, planning and...+ Actively collaborate with leaders in product, engineering, and data science teams to address key business problems +… more
- DoorDash (San Francisco, CA)
- …their subscription. We are forming a new team that will leverage AI and advanced ML to power decision making in real-time - from personalized sign up promotions to ... the Role We're looking for a Staff Machine Learning Engineer to drive the design and development of large-scale... to drive the design and development of large-scale ML /optimization systems to target personalization efforts across the DashPass… more
- Google (San Jose, CA)
- … ML infrastructure (eg, model deployment, model evaluation, optimization, data processing, debugging). **Preferred qualifications:** + Master's degree or PhD in ... Senior Software Engineer , Audio Machine Learning _corporate_fare_ Google _place_ San...the human voice), reinforcement learning (eg, sequential decision making), ML infrastructure, or specialization in another ML … more
- Stanford University (Stanford, CA)
- AI Applications Engineer **Business Affairs: University IT (UIT), Redwood City, California, United States** Information Technology Services Post Date Sep 08, 2025 ... Requisition # 107213 **Job Purpose** Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design,… more