Senior Research Engineer, Computer Vision (LFV/WFM)

What you'll do

• Implement and evaluate research architectures, objectives, datasets, and training strategies; turn prototypes into reusable code.
• Build and maintain pipelines for heterogeneous multimodal data and support distributed model training, experimentation, and performance optimization.
• Develop research tools and collaborate across TRI teams and Toyota partners on shared data, training, and evaluation efforts.

What they ask for

• Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• At least 3 years of relevant experience and strong software engineering skills.
• Deep proficiency in Python, PyTorch, and Unix/Linux; hands-on experience with distributed deep learning training, GPU profiling, and debugging at scale.
• Experience building pipelines for heterogeneous or multimodal datasets, and experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.

Nice to have

• Experience with AWS SageMaker or EC2, Docker, or Kubernetes; familiarity with ROS, MCAP, HDF5, or simulation environments.
• AI-assisted development tools, open-source contributions, or publications at listed research venues.

Pay

$180,000 and $258,750/year USD base salary (California-based roles)

Tools

Python, PyTorch, Unix/Linux, DDP, FSDP, DeepSpeed, AWS SageMaker, Docker

AI focus

Develop and deploy world foundation models for autonomous driving, including large-scale training of diffusion and transformer models using multimodal data.