- Google (Sunnyvale, CA)
- …field. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... related technical field. + 8 years of experience with data structures and algorithms. + 3 years of experience...members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work… more
- Google (Sunnyvale, CA)
- …leading technical project strategy, ML design, and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine ... in a people management or team leadership role. **Preferred qualifications:** + Master 's degree or PhD in Engineering, Computer Science, or a related technical… more
- Microsoft Corporation (Mountain View, CA)
- …engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, ... core infrastructure across multi-cloud environments. + Deploy and manage model hosting systems for inference and data ...to, C, C++, C#, Java, JavaScript, or Python OR Master 's Degree in Computer Science or related technical field… more
- Google (Mountain View, CA)
- …+ 2 years of experience leading ML design or optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Information collected and… more
- Capital One (San Francisco, CA)
- …and innovation. The role of Pipelines is growing rapidly, extending to support model development with highly sensitive human data and internally developed large ... Senior Product Manager, Enterprise Model Platform (EMP) Training Product Management at Capital...shaping the platforms and tools that thousands of engineers, data scientists and analysts across the business apply to… more
- General Motors (Sunnyvale, CA)
- …range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for ... working on code in your assigned area. + Develop data pipelines to curate inputs, manage ground truth, and...produce clear pass/fail signals and confidence intervals for ML model behavior in simulation. + Enhance AI/ML validation frameworks… more
- NVIDIA (Santa Clara, CA)
- …engineer who specializes in building cutting-edge infrastructure for large-scale foundation model training in the Generalist Embodied Agent Research (GEAR) group. ... foundation models for robotics. + Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets. + Implement scalable data… more
- Genentech (South San Francisco, CA)
- …review of relevant literature, FDA/BLA/NDA documents, select databases, and/or internal data . + Participate in Model -Informed Drug Development (MIDD) by ... of the following criteria: + Must be pursuing a Master 's Degree (enrolled student). + Must have attained a...+ Experience with patient reported outcomes (PRO), clinical trial data analysis, or epidemiology preferred. + Strong analytical and… more
- General Motors (Mountain View, CA)
- …environments. As an intern, you'll gain hands-on experience in AI/ML model development, training loop optimization, and simulation infrastructure design, while ... + Help streamline integration and contribute to ML infrastructure, metrics, and data pipelines. + Collaborate with the AI/ML team to support rapid experimentation… more
- NVIDIA (Santa Clara, CA)
- …inferencing microservices for pre-trained and customized AI models across clouds, data centers, RTX (TM) AI PCs, and workstations. NIM microservices expose ... NIM microservices optimize response latency and throughput for each combination of foundation model and GPU. NVIDIA NeMo Retriever is a collection of NIMs for… more