Senior Research Engineer, Computer Vision (LFV/WFM)
Toyota Research Institute4 months ago
Los Altos, CA, USASenior
Base Salary
$180k - $259k/yr
Responsibilities
- Collaborate with research scientists to implement, iterate on, and evaluate architectures, objectives, datasets, and training strategies.
- Translate research prototypes into clean, maintainable, reusable code for TRI teams and the broader Toyota ecosystem.
- Build and maintain scalable pipelines for ingesting, converting, validating, and serving heterogeneous multimodal datasets for robotics and autonomous driving.
- Support and optimize distributed training of world foundation models across multi-GPU and multi-node clusters, including experiment workflows, profiling, debugging, and hyperparameter sweeps.
- Develop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, visualization, and workflow automation.
- Set up shared pipelines, onboard data, and support joint training and evaluation with other TRI teams and Toyota affiliates.
- Produce documented code and contribute to internal tooling and open-source releases.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, with at least 3 years of relevant experience.
- Deep proficiency in Python, PyTorch, and the Unix/Linux toolchain, including terminal-heavy and SSH-based workflows on shared GPU clusters.
- Hands-on experience with large-scale deep learning training, distributed training, GPU profiling, and debugging training failures at scale.
- Experience building pipelines for heterogeneous or multimodal datasets including images, video, depth, point clouds, and actions.
- Experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.
- Ability to work proactively and independently in an ambiguous, research-driven, cross-divisional environment.
- Clear communication, reliable teamwork, and end-to-end ownership of problems.
- Bonus qualifications include AWS SageMaker or EC2, Docker, Kubernetes, ROS, MCAP, HDF5, simulation environments, AI-assisted development tools, and open-source or top-conference publication experience.
Benefits
- Medical, dental, and vision insurance.
- 401(k) eligibility.
- Paid time off, including vacation, sick time, and parental leave.
- Annual cash bonus structure.
- California-based base pay range of $180,000 to $258,750 per year.
- The role involves collaboration across TRI divisions, Toyota affiliates, and university partners; no remote or office arrangement is stated.
Tech Stack
Categories
Data EngineeringML Engineering
About Toyota Research Institute
Toyota Research Institute (TRI) is Toyota’s U.S.-based R&D subsidiary building AI, robotics, and automated driving technologies for future Toyota vehicles and mobility products. It also conducts materials discovery for batteries and hydrogen fuel cells and develops assistive home robotics. Founded in 2016 and headquartered in Los Altos, California, TRI delivers research, software, and prototypes that feed Toyota’s product roadmaps through close collaboration with internal teams and external research partners.