Senior ML Engineer – Localization
Torc Robotics
full-time
Posted on:
Location Type: Remote
Location: Remote • Missouri • 🇺🇸 United States
Visit company websiteSalary
💰 $199,200 - $298,800 per year
Job Level
Senior
Tech Stack
PythonPyTorch
About the role
- Design, build, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion pipelines using camera, LiDAR, and radar data.
- Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch, distributed training infrastructure, and large-scale datasets.
- Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring performance, stability, and real-time constraints are met.
- Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to achieve production-level reliability.
- Contribute to system design, code reviews, best practices, and documentation across the ML and autonomy organization.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
- Strong experience developing and deploying ML models in perception, localization, or sensor fusion domains.
- Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
- Solid understanding of 3D geometry, probabilistic estimation, spatial transforms, and robotics fundamentals.
- Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
- Strong software engineering skills in Python or C++, with a focus on clean, maintainable, production-ready code.
- Excellent communication skills and the ability to collaborate in a fast-paced, cross-functional environment.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learninglocalizationpose estimationmap-matchingsensor fusionPyTorch3D geometryprobabilistic estimationPythonC++
Soft skills
communicationcollaborationproblem-solvingexperimentationcode reviewsdocumentationadaptabilityteamworkattention to detailcritical thinking