Robotics Machine Learning Engineer - Platforms for Vision Language Action Foundation Models
Toyota Research InstituteLos Altos, California
Full Time
Posted December 4, 2025
$176k - $264k
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Job Description
A machine learning engineer responsible for developing infrastructure, deploying models, and supporting research efforts in creating general-purpose robots using advanced AI, robotics, and data systems at Toyota Research Institute.
Key Responsibilities
- Develop and improve hardware platforms, including robots, sensors, interfaces, and controls.
- Build APIs and systems for high-throughput inference, low-latency model serving, and robust policy communication.
- Design and implement metrics pipelines and tools for quantitative and qualitative evaluation, experiment tracking, and visualization.
- Create scalable data pipelines for heterogeneous multimodal data, including storage, versioning, streaming, and visualization systems.
- Collaborate with researchers to run experiments on simulated and real robots and contribute to research publications.
Requirements
- Experience in developing and maintaining hardware platforms, including robots such as YAM, Franka, and custom robots, with knowledge of sensors including monocular, stereo, and depth sensors.
- Ability to build APIs and systems for high-throughput inference and logging in simulation and on real robot platforms, enabling low-latency model serving and robust policy environment communication.
- Design and implement metrics pipelines for quantitative and qualitative evaluation of robotics models and systems.
- Build tools for experiment tracking, logging, visualization, and leaderboard management using systems like Weights & Biases, MLflow, or ClearML.
- Build scalable data pipelines for heterogeneous multimodal data including images, text, video, touch, depth, and proprioception, with experience in data storage, versioning, streaming, and visualization systems optimized for throughput and accessibility.
- Ability to create working code and interact frequently with researchers, including running experiments with both simulated and real physical robots.
- Experience working with multiple robotic embodiments and stacks, and managing a growing corpus of robot data.
- Educational background in a relevant field such as computer science, robotics, or a related discipline (implied, as specific degree requirements are not explicitly stated but are standard for such roles).
- Experience in developing infrastructure for robotics or AI systems, including hardware, inference deployment, evaluation, and data infrastructure (implied from the scope of responsibilities).
Benefits & Perks
Salary range between $176,000 and $264,000 per year, depending on factors such as experience and location
Work schedule details are not specified
Work environment perks include medical, dental, and vision insurance
Paid time off benefits including vacation, sick leave, and parental leave
401(k) retirement plan eligibility
Annual cash bonus structure
Ready to Apply?
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