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Toyota Research Institute · 1 hour ago

Automated Driving Advanced Development Intern, Machine Learning Research

Cambridge, MA

Internship

Hybrid

Intern

$45/hr - $65/hr

Start in 2026 Summer

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative research and development. The Automated Driving Advanced Development division is seeking Machine Learning Research Interns to contribute to the implementation and evaluation of ML-based components for autonomous driving systems.

Artificial Intelligence (AI)AutomotiveConsumer ResearchMachine LearningProduct Research

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative modelling for end-to-end planning from vision in automated driving

Implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage

Prototype, validate, and iterate on model architectures using imitation learning, and large-scale data, ensuring robust performance across diverse scenarios

Perform closed-loop evaluations in sensor simulations and real-world testing environments

Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, leveraging external data sources and transfer learning to enhance generalization

Qualification

Machine LearningPythonML frameworksRoboticsNVIDIA CUDAROSCollaborationProblem-solvingCommunication

Required

Currently pursuing a Ph.D. or equivalent experience in Computer Science, Robotics, Engineering, or a related field

Proficiency in Python for implementing and evaluating research ideas

Experience with ML frameworks such as PyTorch

Understanding of version control, testing, and software engineering fundamentals

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

Preferred

Experience in ML engineering workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization

Understanding of debugging and profiling on NVIDIA CUDA stack

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

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

Experience in state-of-the-art architectures for object detection and 3D perception

Familiarity with foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures, large-scale distributed training

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

Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, or model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation)

Benefits

Medical, dental, and vision insurance

Paid time off benefits (including holiday pay and sick time)

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 (9)

2020 (7)