Senior Manager, Engineering – Learned Vehicle Intent

Torc Robotics

Senior Manager leading multiple ML engineering teams for Learned Vehicle Intent in autonomous driving at Torc Robotics. Ensuring the delivery of robust and scalable behavior models.

Posted 4/29/2026full-timeAnn Arbor • Missouri, Virginia • 🇺🇸 United StatesSenior💰 $195,500 - $234,600 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Own the technical vision and roadmap for Learned Vehicle Intent (LVI), aligning model development with product and safety goals
Lead and scale 2–3 teams of ML engineers, driving execution across model development, training, and deployment
Set and uphold a high bar for technical excellence in reinforcement learning, imitation learning, and behavior modeling
Guide architecture decisions for policy learning systems, including behavior cloning, RL, and multi-agent interaction models
Drive development of scalable training pipelines, data infrastructure, and experimentation frameworks
Partner cross-functionally with perception, prediction, analytical planning, simulation, and safety teams to integrate learned behaviors into the autonomy stack
Ensure robust validation and evaluation of behavior models, including failure analysis and performance tracking across simulation and real-world environments
Establish best practices for data strategy, model iteration, and system-level integration
Mentor senior and staff engineers, fostering growth, ownership, and technical leadership within the team
Lead team planning, execution, and delivery, ensuring alignment with broader organizational priorities

Requirements

What you’ll need

10+ years of experience in applied machine learning, autonomy, robotics, or related domains
Proven experience operating at a Staff or higher technical level, with deep expertise in:
Reinforcement learning
Imitation learning / behavior cloning
Multi-agent systems
5+ years of experience leading engineering teams, ideally across multiple teams or domains
Demonstrated success defining and delivering technical roadmaps for complex ML systems
Strong programming background in Python and modern ML frameworks (e.g., PyTorch, PufferDrive)
Deep understanding of ML architectures and training systems, including scaling, data pipelines, and deployment
Experience integrating ML models into production systems, ideally within autonomy or robotics stacks
Strong cross-functional collaboration skills and ability to influence across teams.

Benefits

Comp & perks

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 match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

reinforcement learningimitation learningbehavior modelingbehavior cloningmulti-agent systemsPythonPyTorchdata pipelinesML architecturesmodel deployment

Soft Skills

technical leadershipmentoringcross-functional collaborationinfluenceexecutionplanningcommunicationorganizational alignmentgrowth fosteringownership