10 ml engineer intern jobs at 10 companies in Napa, CA
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ML & Cloud Infrastructure Engineer Intern
South San Francisco, California, United States
OnsiteInternship
Gritt Robotics: Developing autonomous robots to automate outdoor construction tasks.
Pursuing BS/MS/PhD in CS or related field; strong Python; familiarity with AWS/GCP, containers, CI/CD; experience building infrastructure or data systems; authorized to intern in the U.S.
Kos: AI-powered automated financial operations for industrial infrastructure.
CS/ML student; hands-on project or internship; proficient in Python, TypeScript, or Go; experience with LLMs/agents; production-ready coder; able to work in SF onsite.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
Must be a current university student, have empirical ML research experience and at least one top‑venue publication or equivalent contributions, able to run and debug ML experiments, and familiar with PyTorch.
Eragon: A technology delivering software solutions with a focus on AI and machine learning.
Pursuing BS/MS in computer science or engineering; proficient in Python; familiar with ML frameworks (PyTorch, TensorFlow); strong ML fundamentals; good problem solving; curious and takes ownership.
DataRobot: Provides an enterprise platform for building and governing AI.
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in an M.Sc. or Ph.D. in computer science or related field; strong backend programming skills (Python, PySpark, PyTorch); ML experience, LLM familiarity preferred; excellent communication and learning mindset.
NextClerk: Automated revenue and billing software for subscription businesses.
Pursuing or recently completed a degree in CS/data/software/IS, working knowledge of Python, familiarity with SQL/APIs/JSON, basic ML/NLP/LLM understanding, strong analytical and communication skills.
Member of Technical Staff — ML Research, Interpretability
San Francisco, California, United States
OnsiteFull Time
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Experience in machine learning and neural network internals, interest or experience in interpretability and representation analysis, strong engineering skills, and a hypothesis-driven research approach.
AI Systems & Platform Internals - Technical Architect
San Francisco, California, United States
HybridFull Time
Accellor: Digital transformation consultancy specializing in cloud and CRM solutions.
10+ YOE10+ years engineering experience; hands-on Python and one of C++, Go, Rust, Java, or TypeScript; deep distributed systems, ML infra, GPU and inference expertise; experience with PyTorch/JAX/TensorFlow and Kubernetes/Docker.