Robot Learning Research Scientist

Toyota Research Institute Inc.; Cambridge (MA); On-site; USD 158,000 - 228,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Job summary

Toyota Research Institute Inc. seeks a driven researcher to advance state‑of‑the‑art robotics and machine learning. You will study and extend robot learning models, compile scalable methods, and collaborate with MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to push research impact.

The role emphasizes independent work within a tightly integrated team. The position offers a strong compensation package and a focus on publishing in top venues, with generous benefits and a clear path toward

Qualifications

• PhD in computer science, machine learning, robotics, or related field.
• Experience training large models and deploying on embodied systems.
• Strong software skills in Python; familiarity with C++/Python codebases.
• Extensive ML experience with PyTorch or TensorFlow; data pipelines and model serving.

Responsibilities

• Work with a dynamic research team on robotics and ML.
• Advance robot learning models across language, video, action, and multimodal data.
• Implement state‑of‑the‑art methods for robot behavior learning.
• Publish high‑impact research; collaborate with MIT, Stanford, Berkeley, CMU, and others.
• Contribute to research at scale across internal and partner labs.

Skills

Python

C++/Python mix

ML frameworks (PyTorch/TF)

Research collaboration

Deploying models on embodied systems

Large models training

Robotics perception and control

Experimentation & rapid prototyping

Education

PhD in CS/ML/Robotics

Tools

ROS 2

PyTorch

TensorFlow

Cloud training pipelines

Job description

Toyota Research Institute Inc. seeks a driven researcher to advance state‑of‑the‑art robotics and machine learning. You will study and extend robot learning models, compile scalable methods, and collaborate with MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to push research impact.

The role emphasizes independent work within a tightly integrated team. The position offers a strong compensation package and a focus on publishing in top venues, with generous benefits and a clear path toward