Research Engineer, Large Behavior Models - Computer Vision
Research Engineer, Large Behavior Models - Computer Vision
Posted on :
08-06-2025
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1 Vacancy
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Yearly Salary
$ 152000 - 228000
Vacancy
1 Vacancy
Posted on :
08-06-2025
Job Description
Were looking for a motivated research engineer to help build the next generation of AI-powered robots through high-fidelity simulation and large behavior models. Youll work at the intersection of machine learning computer vision robotics and physics-based simulation to enable scalable generalizable robot policy development. Experience with simulation or embodied systems (robots autonomous vehicles etc.) is a strong plus.
If our mission of revolutionizing robot learning through simulation and large behavior models resonates with you wed love to talk about how we can build it together.
Responsibilities
- Develop and manage physics-based robot simulation environments using Drake enabling scalable training and evaluation of learning-based behavior models in realistic physically grounded scenarios.
- Integrate and validate learned policies in simulation assessing real-world applicability generalization and performance across diverse environments tasks geometries and sensor viewpoints.
- Build improve and robustify end-to-end integrated ML pipelines for training multimodal (language images 3D video actions) models at scale.
- Train fine-tune and serve robot foundation models with a strong MLOps approach.
- Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack.
- Collaborate with internal research scientists and our partner labs at top academic institutions and Toyota research labs to drive groundbreaking research at scale.
Qualifications
- 2 years of professional engineering experience at an AI/ML-focused organization.
- Strong proficiency in Python and experience with simulation frameworks such as Drake PyBullet MuJoCo or similar.
- Hands-on experience with robotics simulation reinforcement learning or large-scale machine learning.
- Familiarity with the latest methods in behavior learning and/or computer vision.
- Experience integrating ML models into simulated or real-world environments.
- Extensive practical experience with PyTorch.
- Ability to alternate between rapid prototyping and production-quality implementation.
- Demonstrated understanding of software engineering best practices including testing CI/CD and documentation.
Bonus Qualifications
- Experience deploying models on embodied systems/robots.
- Experience working in mixed teams of research scientists and engineers.
- Exposure to MLOps tools and infrastructure (e.g. Docker EC2 S3 Sagemaker).
- Experience with Bazel.
The pay range for this position at commencement of employment is expected to be between$152000 and $228000/year for California-based roles; however base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits such as vacation sick time and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute Inc. or its subsidiaries including Toyota A.I. Ventures GP L.P. and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants race color creed gender gender identity or expression sexual orientation national origin age physical or mental disability medical condition religion marital status genetic information veteran status or any other status protected under federal state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
Employment Type
Full-Time
Key Skills
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