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Senior Research Engineer, Computer Vision (LFV/WFM)

Toyota Research Institute· Automated Driving Advanced Development / Learning From Videos (LFV) team
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Hybrid (Los Altos, CA)$180k - $258.8kFull-timePosted 3mo ago

About the role

Senior Research Engineer to develop and deploy world foundation models (WFMs) for autonomous driving, bridging research ideas and production-grade systems. Focus on large-scale distributed training, multi-modal data pipelines, and collaboration across TRI divisions and external partners.

Responsibilities

  • Collaborate directly with research scientists to implement, iterate on, and evaluate new architectures, objectives, datasets, and training strategies. Translate research prototypes into clean, maintainable, reusable code that will be shared across multiple TRI teams and the broader Toyota ecosystem.
  • Build and maintain scalable pipelines for ingesting, converting, validating, and serving heterogeneous datasets (multi-view, multi-modal, multi-embodiment, etc.), across robotics and autonomous driving, into unified training-ready formats. Track and integrate new public and internal datasets as they become available.
  • Support and optimize large-scale distributed training of world foundation models on multi-GPU and multi-node clusters. Manage experiment workflows, profiling, debugging, and hyperparameter sweeps to ensure optimal performance in a timely manner.
  • Develop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, and visualization. Automate repetitive workflows to improve team velocity.
  • Work with other TRI teams and Toyota affiliates to set up shared pipelines, onboard their data, and support joint training and evaluation efforts.
  • Produce maintainable, well-documented code. Contribute to internal tooling and open-source releases to the scientific community.

Qualifications

  • Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, with a minimum of 3 years of relevant experience and strong software engineering skills.
  • Deep proficiency in Python, PyTorch, and the Unix/Linux toolchain. Comfort working in terminal-heavy, SSH-based workflows on shared GPU clusters.
  • Hands-on experience with large-scale deep learning training, including distributed training (DDP, FSDP, DeepSpeed, or similar), GPU profiling, and debugging training failures at scale.
  • Experience building data pipelines for heterogeneous or multi-modal datasets (images, video, depth, point clouds, actions, etc).
  • Experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.
  • You are proactive, self-directed, and comfortable operating with ambiguity in a research-driven environment that spans multiple divisions.
  • You are a reliable teammate who communicates clearly and takes ownership of problems end-to-end.

Skills

Required:PythonPyTorchDistributed trainingData pipelines for multi-modal datasets3D/4D reconstruction and multi-view geometry

Benefits

  • Generous benefits package including medical, dental, and vision insurance
  • 401(k) eligibility
  • paid time off benefits (including vacation, sick time, and parental leave)
  • annual cash bonus structure
  • Additional details provided if an offer is extended
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Toyota Research Institute

Pursuing automated driving solutions that are safe, scalable, and inclusive

Toyota Research Institute (TRI) envisions a future where Toyota products, enabled by TRI technology, dramatically improve quality of life for individuals and society.

Automated DrivingEnergy & MaterialsHuman-Centered AIHuman Interactive DrivingLarge Behavior ModelsRobotics
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