18 ml engineer intern jobs at 15 companies in Fairfax, 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.
Postman: Platform for building, testing, and managing software APIs.
Currently pursuing a BS/MS/PhD in CS, Data Science, or related; hands-on ML experience; strong Python or Rust fundamentals; exposure to PyTorch or JAX, Pandas, and SQL; clear communication skills.
New York City or Seattle or Los Angeles or Mountain View
$70/hrOnsiteInternship
Atoms: Building robotics and software to automate physical world industries.
Pursuing a PhD in machine learning, AI, or a related technical field; graduating in 2027 or 2028; 3.7 GPA minimum; advanced programming experience and machine learning research experience.
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.
Notion: Provides a unified workspace for notes, documents, and project management.
Pursuing a bachelor's or master's degree in computer science, engineering, or a related field; graduate before Summer 2028. Previous internship and proficiency in programming languages required.
TypeScript, Node.js, Python, React, LLMs, Embeddings, ML
Notion: Provides a unified workspace for notes, documents, and project management.
Pursuing a bachelor's or master's degree in computer science, engineering, or a related field; must graduate before December 2027. Requires programming proficiency and previous internship experience.
TypeScript, Node.js, Python, React, LLMs, Embeddings, ML
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.
SAPFrankfurt Stock Exchange: SAP: Sells enterprise resource planning and business management software solutions.
Master's in computer science or equivalent; strong full-stack expertise with data and ML/AI exposure; familiarity with SAP technologies, APIs, cloud platforms, and modern front-end frameworks.
SAP HANA Cloud, SAP Fiori, SAPUI5, Node.js, Java, SAP Business Technology Platform (BTP), RESTful APIs, AWS, Microsoft Azure, Google Cloud
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.
CloudflareNYSE: NET: Provides security and performance services for internet properties.
5+ YOE5+ years full stack engineering experience; strong backend (Python, Go, Node.js) and frontend (React, TypeScript); SQL/NoSQL, API design, cloud-native architectures (Cloudflare Workers, AWS/GCP); familiarity with data pipelines, LLMs/ML, and audit/risk concepts.
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.
Toronto or Zürich or Seattle or California or Mountain View or Singapore
HybridFull Time, Internship
Veeda AI: Building multimodal foundation world models for physical AI.
Bachelor's degree or equivalent experience in computer science, engineering, or a related field; strong ML or systems fundamentals; fluent Python; and experience building and debugging end-to-end systems.
Python, Megatron-Core, Isaac Lab, Ray Data, CUDA, Triton, MuJoCo, Newton
AI Systems & Platform Internals - Technical Architect
Mountain View, California, United States
HybridFull Time
Accellor: Digital transformation consultancy specializing in cloud and CRM solutions.
10+ YOE10–12 years in software engineering or ML/infra; hands-on Python and one of C++, Go, Rust, Java, or TypeScript; deep distributed systems, GPU/ML infra, PyTorch/JAX/TensorFlow, Kubernetes, CUDA/Triton, observability and production reliability.
Sony Interactive EntertainmentNYSE: SONY: Provides PlayStation gaming hardware, software, and digital network services.
12+ YOEBachelor’s degree in software engineering, computer science, engineering management, or related field; 12+ years of product management experience; enterprise SaaS or internal platform experience; AI, analytics, APIs, and global scaling expertise.
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.