Meet the Team:As a Senior Machine Learning Engineer - End-to-End (E2E), you will develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy for real-world freight operations.
You'll work at the intersection of perception, prediction, and planning, contributing to unified learning pipelines that operate in closed-loop environments. This role focuses on owning meaningful portions of the E2E stack, improving model performance at scale, and driving iteration through data, experimentation, and cross-functional collaboration.
This is a hands-on engineering role focused on execution, iteration, and delivery.
What You'll Do- Own development and delivery of End-to-End ML models that map multi-modal sensor inputs (camera, LiDAR, radar, maps) to driving-relevant outputs (trajectories, cost functions, or intermediate representations)
- 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
- Collaborate closely with Perception, Prediction, Planning, and Simulation teams to ensure alignment across the autonomy stack
- Support integration of E2E models into simulation and on-vehicle systems for closed-loop validation
- Improve tooling, experimentation workflows, and reproducibility across the team
- Mentor junior engineers and contribute to team-level best practices and technical discussions
What You'll Need to Succeed- Bachelor's degree with 6+ years, Master's with 4+ years, or PhD with 0-2 years of experience in Machine Learning, Robotics, Computer Science, or a related field with a track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
- Experience developing and deploying ML models for autonomous systems, robotics, or complex decision-making environments
- Strong programming skills in Python and PyTorch, with ability to write production-quality ML code
- Experience training and evaluating models using large-scale datasets and distributed compute environments
- Solid understanding of ML architectures used in E2E systems, such as Transformers, BEV models, VLA/VLM approaches, or diffusion models
- Proven ability to debug model behavior, analyze performance metrics, and drive iterative improvements
- Experience contributing to or influencing model architecture and training strategies
- Ability to work cross-functionally and integrate ML systems into larger autonomy pipelines
Bonus Points- Experience developing End-to-End or mid-to-end models for autonomous driving or robotics
- Experience with vision-language models (VLMs) or vision-language-action (VLA) systems
- Familiarity with closed-loop simulation and evaluation frameworks
- Experience with reinforcement learning or imitation learning in real-world systems
- Experience with distributed training frameworks (e.g., Ray)
- Understanding of vehicle dynamics, motion planning, or multi-agent systems
Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
- AD+D and Life Insurance
Job ID: 102665
Hiring Range for Job Opening US Pay Range
$226,400-$271,700 USD
