At Torc, we are looking for a Senior Machine Learning Engineer - End-to-End to develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior. You will work at the intersection of perception, prediction, and planning, contributing to unified learning pipelines that operate in closed-loop environments.
Requirements
- Develop and deliver End-to-End ML models that map multi-modal sensor inputs to driving-relevant outputs
- Train and evaluate models using large-scale datasets from fleet logs, simulation, and synthetic data
- Analyze model performance, identify failure modes, and drive data-driven improvements in robustness and generalization
- Design and refine training pipelines, data workflows, and evaluation strategies to improve iteration speed and model quality
- Contribute to model architecture decisions, including approaches such as imitation learning, reinforcement learning, transformers, and vision-language-action (VLA) models
Benefits
- Competitive compensation package
- 100% paid medical, dental, and vision premiums
- 401K plan with a 6% employer match
- Flexibility in schedule
- Generous paid vacation
- Company-wide holiday office closures
- AD+D and Life Insurance
