A Machine Learning Engineer at Toyota Research Institute will develop, implement, and deploy end-to-end machine learning models for autonomous driving systems, focusing on perception, planning, and control to enable robust and scalable autonomous vehicle capabilities.
Key Responsibilities
Implement, evaluate, and integrate ML-based components for perception, planning, and control in autonomous driving systems
Support simulation-based testing, real-time deployment, and data-driven model development
Collaborate with researchers, data engineers, and autonomy engineers to scale models from prototype to production
Requirements
Experience in implementing, evaluating, and integrating ML-based components for perception, planning, and control in autonomous systems.
Support in simulation-based testing, real-time deployment, and data-driven model development for machine learning models.
Ability to work closely with researchers, data engineers, and autonomy engineers to ensure models scale from prototype to production.
Proficiency in developing end-to-end machine learning models from pixels to trajectories that are robust, testable, and deployable systems.
Strong understanding of systems engineering principles related to machine learning deployment in real-world environments.
Experience contributing to the implementation, evaluation, and integration of machine learning components in autonomous driving or similar fields.
Demonstrated ability to develop models suitable for deployment in safety-critical, real-time systems.
Links to relevant open-source contributions or technical project write-ups to demonstrate practical experience (must be included in application).
Benefits & Perks
Salary range between $176,000 and $264,000 per year for California-based roles
Paid time off benefits including vacation, sick time, and parental leave
401(k) retirement plan eligibility
Annual cash bonus structure
Generous benefits package
Ready to Apply?
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