The intern will advance a wellbeing framework through research, focusing on collective wellbeing, organizational structures, and measurement design.

The Senior People Partner will support TRI by developing people strategies, coaching managers, leading performance initiatives, and managing workforce risks in a collaborative HR environment.

Intern will develop vision-action models for robotics, integrate solutions for mobile manipulation, and analyze real-world robot behavior data.

The Machine Learning Engineer will implement and evaluate ML models for autonomy, collaborate with teams, and integrate systems for real-time deployment.

The intern will collaborate with AI/ML researchers to develop systems for behavior change using generative AI, aiming for publishable research outcomes.

The intern will research generative human modeling, collaborate with ML and behavioral scientists, and publish in top-tier venues.

Lead the development of simulation workflows for validating driving policies, integrating simulation technologies, and collaborating with cross-functional teams.

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

As a Senior Software Engineer, you will integrate and deploy advanced autonomy systems while collaborating across teams to ensure robust software performance in drivers and simulations.

As an intern, you'll develop algorithms for robotic simulation, focusing on accuracy and performance, collaborating with engineers and scientists, aiming for publication.

Conduct original research at the intersection of machine learning and autonomous driving, focusing on world models and reinforcement learning. Collaborate with researchers, develop prototypes, and publish findings.

The Senior UX Designer will create user-centered interfaces for robotics, focusing on tangible interactions and developing design specifications for projects.

As a Research Intern, you will work on 3D perception and representation learning in collaboration with a multidisciplinary team, aiming for high-impact research publications.

The Robotics Intern will conduct research in Machine Learning for Robotics, working on projects related to large behavior models and applying ML algorithms in real-world robotics scenarios.

Develop infrastructure and support foundation models for robotics, including hardware platforms, APIs for inference, evaluation metrics, and data pipelines. Collaborate with researchers to run experiments and publish findings.

The intern will develop machine learning algorithms for general-purpose robotics, create code prototypes, run experiments, and work with large datasets.

Contribute to the integration and deployment of an automated driving stack, focusing on implementing features, setting up infrastructure, and improving system performance across TRI and Woven's robotics and vehicle software projects.