Robotics Intern, Trustworthy Learning under Uncertainty (Robotics)

Location: Hybrid, in-office role in Los Altos, California, for a paid 12-week Summer 2027 internship.

Salary: $45–$65 per hour for California-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 research in robot manipulation addressing open problems with practical and ethical value.
• Validate research using large-scale sensory data, simulation, real-world benchmarks, robots, and physical systems.
• Advance the state of the art in robot manipulation and embodied foundation models.
• Collaborate with research scientists and engineers across the Trustworthy Learning under Uncertainty team, Robotics division, TRI, Toyota, and university partners.
• Track developments in machine learning research and software.
• Present results at international conferences, internally, and through open-source contributions.

Requirements

• Currently pursuing a Ph.D. in Machine Learning, Robotics, or a related field.
• Publication or desire to publish in high-impact conferences or journals on topics including machine learning, robotics, foundation models, generative modeling, imitation learning, reinforcement learning, planning and control, statistics, uncertainty estimation, out-of-distribution detection, safety-aware and robust machine learning, active learning, and online or continual learning.
• Passion for large-scale machine learning challenges grounded in physical systems, especially robotics.
• Proficiency with one or more coding languages and systems, preferably Python, Unix, and a deep learning framework such as PyTorch.
• Ability to collaborate with researchers and engineers to develop research ideas.
• Reliable teamwork, deep technical thinking, broad ambition, and integrity.
• Include a Google Scholar link and a full list of publications with the CV submission.

Culture & Benefits

• Multidisciplinary research environment spanning robotics, AI, machine learning, and physical systems.
• Opportunity to work toward publications at leading academic venues and contribute to open source.
• Medical, dental, and vision insurance.
• Paid time off, including holiday pay and sick time.
• Work with real robots and university research partners.