Robotics Intern, World Action Models for Robot Policy (AI)

Location: Cambridge, MA, US; hybrid, in-office role

Pay range: $40–$58/hour for Massachusetts-based roles

Company

hirify.global develops tools and capabilities in AI, robotics, driving, and material sciences to improve the quality of human life and advance mobility.

What you will do

• Conduct original research on world action models for robot policy, from problem definition through experiments and analysis.
• Mid-train, fine-tune, and post-train world action models, evaluating them in simulation and on humanoids or mobile manipulators.
• Design evaluations for long-horizon task success and the quality of human-robot interaction.
• Collaborate with researchers and engineers across robotics teams and university partners.
• Present results internally and contribute to peer-reviewed publications and open-source releases where appropriate.

Requirements

• Currently pursuing a Ph.D. or M.S. in Robotics, Computer Science, Machine Learning, Mechanical Engineering, or a related field.
• Experience training or fine-tuning large models, such as VLMs, VLAs, or video/world models, on large datasets.
• Strong Python skills and fluency with a deep learning framework such as PyTorch.
• Comfort with fast prototyping, informative experiments, and a make-it-happen approach.

Nice to have

• C++ experience.
• Publications at top-tier robotics or machine learning venues.
• Experience deploying learned policies on real robots, especially humanoids or mobile manipulators.
• Background in world models, video prediction, model-based planning, human-robot interaction, human motion or intent prediction, or learning from egocentric human video.
• Experience with long-horizon or hierarchical task execution.
• System integration skills across machine learning tooling, simulation, robot middleware, and data pipelines.

Culture & Benefits

• Paid 12-week summer internship in a hybrid, in-office setting.
• Medical, dental, and vision insurance.
• Paid time off, including holiday pay and sick time.
• Collaborative and inclusive environment spanning robotics, research, engineering, and university partnerships.