Research Engineer, Large Behavior Models - Computer Vision
Description For Research Engineer, Large Behavior Models - Computer Vision
Toyota Research Institute (TRI) is seeking a talented Research Engineer to join their innovative team focused on advancing AI-powered robotics through simulation and large behavior models. This role sits at the exciting intersection of machine learning, computer vision, robotics, and physics-based simulation, offering a unique opportunity to shape the future of robot learning.
The position involves developing sophisticated simulation environments using Drake, building and managing ML pipelines for multimodal models, and working with cutting-edge technologies in robot foundation models. You'll be responsible for creating scalable solutions for training and evaluating learning-based behavior models in physically grounded scenarios.
Working at TRI means joining a diverse and inclusive community that values innovation and collaboration. The role offers competitive compensation ($152,000-$228,000/year) and comprehensive benefits including 401(k), various paid time off benefits, and an annual bonus structure. You'll have the opportunity to collaborate with top academic institutions and Toyota research labs, contributing to groundbreaking research at scale.
The ideal candidate brings 2+ years of professional engineering experience in AI/ML, strong Python skills, and extensive experience with PyTorch and simulation frameworks. You should be comfortable with both rapid prototyping and production-quality implementation, understanding software engineering best practices.
This hybrid position is based in Los Altos, CA, offering the flexibility of both remote and office work. If you're passionate about revolutionizing robot learning through simulation and large behavior models, this role provides an excellent opportunity to make a significant impact in the field of AI and robotics.
Responsibilities For Research Engineer, Large Behavior Models - Computer Vision
- Develop and manage physics-based robot simulation environments using Drake
- Integrate and validate learned policies in simulation
- Build, improve, and robustify end-to-end integrated ML pipelines
- Train, fine-tune, and serve robot foundation models with MLOps approach
- Build processes for integrating collaboration-produced and open-source advancements
- Collaborate with internal research scientists and partner labs
Requirements For Research Engineer, Large Behavior Models - Computer Vision
- 2+ years of professional engineering experience at an AI/ML-focused organization
- Strong proficiency in Python and experience with simulation frameworks
- 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
Benefits For Research Engineer, Large Behavior Models - Computer Vision
- 401k
- Vacation time
- Sick time
- Parental leave
- Annual cash bonus
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