1 day ago
Detroit, MI, USAStaff+
Base Salary
$284k - $382k/yr
Responsibilities
- Develop and improve end-to-end driving models for performance, robustness, and generalization.
- Lead initiatives involving personalized and collaborative driving, behavior conditioning, comfort tuning, and user alignment.
- Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
- Curate and mine real-world and synthetic data to improve scenario diversity, coverage, and feature development.
- Influence model architecture, training methodologies, and production deployment pathways.
- Collaborate with AI Platform, Simulation, Robot SW, Model Release, and other teams to integrate and iterate on production learning systems.
- Mentor senior engineers and shape long-term technical direction across Autonomy.
Requirements
- Extensive, proven experience shipping deep learning systems to production.
- Expertise in deep learning, particularly sequential models, control, planning, or perception.
- Proficiency in Python and relevant languages such as C++ and CUDA, plus ML frameworks such as PyTorch.
- Solid software engineering practices and experience with real-time systems or robotics.
- Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
- Prior experience in autonomous driving, imitation learning, or trajectory prediction is desirable.
- Familiarity with personalization, human behavior modeling, or driver intent inference is desirable.
- Experience integrating ML systems into production hardware or multi-agent simulation is desirable.
Benefits
- Full-time hybrid role based in Sunnyvale or Detroit, combining office and workshop collaboration with work from home.
- Core working hours with flexibility to determine a schedule that works for the candidate and team.
- Competitive equity package.
- Inclusive interview process and workplace with accommodations available.
Categories
ML EngineeringRobotics
