Modal: Serverless cloud platform for running AI and data workloads
PhD candidate in CS/ML or related with research in reinforcement learning, ML, or foundation models; experience with large-scale model training, distributed training or multi-GPU environments; strong programming and research publication record.
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.
Compresr: Provides an API that compresses LLM context to reduce costs.
Comfortable training ML models/transformers, independent applied research experience, strong communication, proficient Claude Code/OpenAI/Anthropic usage; BSc/MSc in CS/DS/math/physics preferred.
GPUs, OpenAI, Anthropic, Claude Code, transformers
Zipline: Operates an autonomous drone delivery system for medical supplies.
0+ YOEUndergraduate student (2nd year) in a technical field; internship in ML research; experience with PyTorch/JAX/TF; published ML research; available Sep–Dec 2026.
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.
Together AI: Cloud platform for training and deploying artificial intelligence models.
Pursuing a Masters or PhD in CS/EE/Information Science or related field; publications in top ML/NLP/speech venues; strong ML/DL fundamentals; experience with PyTorch or JAX; Python proficiency; familiarity with transformer architectures and LLMs.
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.
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.
One Robot: Developing world models for robot simulation and policy evaluation.
Enrolled in BS/MS/PhD in ML/robotics/vision, strong Python and PyTorch skills, hands-on generative model or policy training experience, ability to work in-person in San Francisco.
DEUNA: Checkout and payment orchestration platform for e-commerce merchants.
Currently pursuing a Bachelor's or Master's in a quantitative field; eager to learn data science tasks including dataset preparation, exploratory analysis, ML model support, and dashboarding. This is an unpaid educational internship.
Kinetic Systems: An early-stage startup advancing AI model capabilities for real-world healthcare tasks through datasets, environments, and models.
Published first-author paper, experience training 1B+ parameter models, research background (MS/PhD preferred) in ML-related fields, strong PyTorch/HuggingFace experience, US work authorization, on-site in San Francisco.
Dolby LaboratoriesNYSE: DLB: Develops audio and video signal processing and compression technologies.
Pursuing a Master’s or PhD in EE/CS/Mathematics/Physics or related; experience with Python and C/C++, ML/AI, acoustic simulations, data pipelines (SQL, Spark); strong communication; available full-time Mon–Fri for a 12-week internship Sept–Dec 2026.
Moss: Builds robots to scan trees for automated farm inventory.
Hands-on robotics or perception projects, strong C++/Python/Rust skills, experience with 3D sensor data, ML/CV, localization/mapping, Linux, and debugging real systems.
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.
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.
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.
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.
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.