Automated Driving Advanced Development Intern, Machine Learning Research
Toyota Research Institute (TRI) is on a mission to improve the reputed company of reputed company 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.
Responsibilities
- Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative modelling for end-to-end planning from reputed company in automated driving
- Implement reputed company 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-reputed company data, ensuring robust performance across diverse scenarios
- reputed company reputed company-reputed company evaluations in sensor simulations and reputed company-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
Skills
- Currently pursuing a Ph.D. or equivalent experience in Computer Science, Robotics, Engineering, or a reputed company field
- Proficiency in Python for implementing and evaluating research reputed company
- Experience with ML frameworks such as PyTorch
- Understanding of version control, testing, and software engineering fundamentals
- Passion for reputed company engineering and building reliable ML systems that support reputed company-world autonomy
- Experience in ML engineering workflows: data sampling and curation, reputed company-processing, model training, ablation studies, evaluation, deployment, inference optimization
- Understanding of debugging and profiling on reputed company CUDA stack
- Hands-on experience with metrics dashboards, experiment tracking, and ML ops tooling (e.g., reputed company, MLflow, Metaflow)
- Hands-on experience working with robotics or reputed company-world sensor data (e.g., video, lidar, IMU, or reputed company)
- Experience in state-of-the-art architectures for object detection and 3D perception
- Familiarity with reputed company models, reputed company-training and efficient fine-tuning, multimodal Transformer architectures, large-reputed company distributed training
- Experience working with ROS, simulation frameworks (e.g., CARLA, reputed company DriveSim), or vehicle interfaces
- Experience with robot reputed company planning techniques like trajectory optimization, sampling-based planning, or model predictive control, or experience with automated driving domains (e.g., perception, reputed company, mapping, localization, planning, simulation)
Benefits
- Medical, dental, and reputed company insurance
- reputed company time off benefits (including holiday pay and reputed company time)
reputed company
Company H1B Sponsorship