Senior Machine Learning Engineer
Toyota Research InstituteLos Altos, California
Full Time
Posted March 27, 2026
$200k - $288k
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Application opens on company website
Job Description
A Senior Machine Learning Engineer at Toyota Research Institute collaborates with research teams to develop and deploy scalable AI and machine learning systems that support advancements in robotics, autonomous vehicles, energy, and materials science, bridging research and production environments.
Key Responsibilities
- Partner with research teams to develop and deploy machine learning systems for robotics, autonomous vehicles, energy, and materials science programs.
- Build and maintain ML infrastructure, tooling, and platforms to support research productivity.
- Translate research breakthroughs into robust, scalable production systems for integration into Toyota products.
- Work across the ML stack, including cloud training infrastructure, LLM integrations, and data pipelines.
- Apply expertise in areas such as MLOps, edge embedded ML, LLM systems, and data engineering to accelerate research and deployment.
Requirements
- Experience working as a Machine Learning Engineer or in a similar role with a strong background in developing and deploying machine learning systems.
- Deep expertise in two or more specific areas such as MLOps fundamentals, hands-on edge embedded ML experience, LLM systems expertise, or robust data engineering skills.
- Ability to move fluently across the ML stack, including cloud training infrastructure, LLM integrations, and data pipelines.
- Proficiency in translating experimental research work into production-quality deployments.
- Strong generalist skills in machine learning, AI, and related infrastructure.
- Experience partnering with research teams across robotics, autonomous vehicles, energy, or materials science programs.
- Ability to build systems that accelerate research velocity and enable breakthrough research across multiple programs.
- Educational background or equivalent experience in a relevant field such as Computer Science, Electrical Engineering, or related disciplines.
- Experience with building infrastructure, tooling, and platforms to support research and production deployment.
- Experience with deploying scalable, robust machine learning systems in production environments.
- Knowledge of and experience with cloud training infrastructure, LLM systems, and data pipelines.
- Physical or mental ability to perform the essential functions of the role with or without reasonable accommodation (implied by the nature of engineering work).
Benefits & Perks
Salary range between 200,000 and 287,500 USD per year for California-based roles
Work schedule details not specified
Medical, dental, and vision insurance
401(k) retirement plan eligibility
Paid time off including vacation, sick leave, and parental leave
Annual cash bonus structure
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