Internship 2027 Behavior Machine Learning Engineer, World Models
Bedrock Robotics · San Francisco, CA
About this role
## Internship 2027 — Behavior Machine Learning Engineer (World Models) **JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD** At **Bedrock**, we’re moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a **$3.2B** acquisition, and grew Uber Freight to **$5B** in revenue. Today, we’re deploying autonomous systems on heavy construction equipment across the country—improving safety on job sites and accelerating schedules on critical infrastructure projects. In just two years, we’ve raised **$350M** and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. --- ## About the Role & Team Predicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock—whether that’s **soil dynamics**, **machine interactions**, or **the people moving around the site**. The **Behavior ML team** is building **world models** that let our machines reason about the near future instead of just reacting to the present. As our intern, you’ll: - Train models on **real fleet data** - Run **architecture explorations** - Work closely with the **Behavior** and **Controls** teams to ship what you build onto a real excavator --- ## What You’ll Do - Train and evaluate world models on **real fleet data** collected from autonomous machines in the field - Run architecture explorations and ablations, and make a defensible case for what’s actually working - Build **evaluation harnesses** and **metrics** to determine whether a model is genuinely better - Partner with Behavior and Controls teams to connect model outputs to **planning and control** - Present your findings and provide a solid foundation for the team to build upon --- ## What We’re Looking For ### Required - Currently pursuing a **BS, MS, or PhD** in computer science, machine learning, robotics, or a related field (or equivalent research/industry experience) - Strong **Python** and hands-on experience training models in **PyTorch** (or equivalent) - Ability to read a paper and turn it into a working implementation - Comfort with **messy, real-world data** (not a curated benchmark) - Sound experimental judgment—understanding the difference between real results and noise ### Preferred - Experience with **world models**, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.) - Background in **reinforcement learning** or **imitation learning** - Prior work with **robotics** or **autonomous vehicle** data - Familiarity with **large-scale training infrastructure** --- ## Equal Opportunity Employer Bedrock Robotics is an **Equal Opportunity Employer** and is committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. ### Reasonable Accommodations If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
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