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# Machine Learning Research Interns

- **Company:** Toyota Research Institute
- **Location:** Los Altos, United States
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Profiling, Nvidia CUDA, Software Debugging, Distributed Computing Environment, Python (Programming Language), Machine Learning, Motion Planning, Object Detection, Performance Tuning, Tensorflow, Pytorch, Transfer Learning, Large Language Models, Information Technology, Transformer Architectures, Machine Learning Operations, Software Version Control
- **Published:** November 5, 2026
- **Apply:** https://startup.jobs/automated-driving-advanced-development-intern-machine-learning-research-toyotaresearch-10683254

## About the Role

* 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., * 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.

## Description

We are looking for Machine Learning Research Interns to join our autonomy team and help bring end-to-end ML models ( pixels to trajectories ) into robust, testable, and deployable systems. This role is ideal for those who thrive at the intersection of machine learning, systems engineering, and real-world deployment. This internship opportunity is a paid 12-week internship for Summer 2026. Please note that this internship will be a hybrid in-office role.
You'll contribute to the implementation, evaluation, and integration of ML-based components for perception, planning, and control; with simulation-based testing. You'll work closely with researchers, data engineers, and autonomy engineers to ensure models scale from prototype to production. This work is part of Toyota's global AI efforts to build a more coordinated global approach across Toyota entities., * 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.