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Toyota Research Institute · 11 hours ago

Machine Learning Engineer

Los Altos, CA

Full-time

Onsite

Mid Level

$176K/yr - $264K/yr

3+ years exp

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative tools and capabilities. They are seeking a Machine Learning Engineer to join their autonomy team, focusing on developing robust ML models for perception, planning, and control in automated driving systems.

Artificial Intelligence (AI)AutomotiveConsumer ResearchMachine LearningProduct Research

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Implement, maintain, and evaluate end-to-end ML models used in the autonomy stack

Collaborate with ML researchers, data scientists and engineers, and simulation teams to build training, evaluation, and deployment pipelines

Integrate models into real-time systems running on simulation and vehicle platforms, ensuring correctness and performance

Support open-loop, closed-loop, and batch evaluation workflows of trained models, including metrics tracking, ablation studies, and debugging tools

Help design scalable workflows for managing large datasets (e.g., demonstration driving for imitation learning) and support diverse scenario coverage

Write clean, modular, well-tested code with a focus on reliability, clarity, and maintainability

Qualification

Machine Learning frameworksPython programmingC++ programmingRobotics experienceML ops toolingVersion controlCollaborative engineeringSoftware engineering fundamentalsEnthusiasm for autonomyOpen-source contributionsTechnical project write-ups

Required

Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

3+ years of strong experience with ML frameworks such as PyTorch, Tensorflow or Caffe

Strong Python and C++ programming skills and solid understanding of ML model development best practices

Familiarity with metrics dashboards, experiment tracking, and ML ops tooling (e.g., Weights & Biases, MLflow, Metaflow)

Some experience working with robotics or real-world sensor data (e.g., video, lidar, IMU, or radar)

Strong understanding of version control, testing, and software engineering fundamentals

Enthusiasm for collaborative engineering and building reliable ML systems that support real-world autonomy

Preferred

Experience working with ROS, simulation frameworks (e.g., CARLA, Nvidia DriveSim), or vehicle interfaces

Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)

Exposure to distributed training, inference optimization, or model deployment on edge devices

Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures)

Benefits

401(k) eligibility

Various paid time off benefits, such as vacation, sick time, and parental leave

Annual cash bonus structure

Company

Toyota Research Institute

Glassdoor4.2

Toyota Research Institute is an R&D enterprise with an initial focus on artificial intelligence and robotics.

Founded in 2016

Palo Alto, California, USA

201-500 employees

http://www.tri.global

H1B Sponsorship

Toyota Research Institute has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (10)

2020 (7)