Senior ML Engineer - Localization & Pose Estimation

Torc; Ann Arbor (MI); Hybrid; USD 177,000 - 213,000; Full time

Benefits offered by this job

Stock options

Premium health benefits

401K with 6% match

Flexible schedule & vacation

AD&D & Life Insurance

Job summary

Torc is seeking a Senior Machine Learning Engineer - Localization to design, develop, and deploy production ML models for ego-motion estimation and localization in autonomous trucks. You will work with Python, C++, PyTorch, and sensor fusion across camera, LiDAR, radar, and other vehicle sensors in a hybrid work setting in Ann Arbor, MI or remote within the US.

You will collaborate with perception, mapping, planning, controls, and platform teams, lead design reviews, and help shape

Qualifications

• Bachelor’s degree or higher in a related field with relevant industry experience.
• Experience with AV or robotics localization systems (e.g., LiDAR‑based localization, visual odometry, SLAM, or map‑based pose estimation).
• Proficiency with PyTorch and ML tooling for training, inference, and optimization.
• Strong understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
• Experience working with large multimodal datasets and building scalable pipelines for processing, labeling, and evaluation.
• Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.
• Excellent written and verbal communication and ability to work cross‑functionally.

Responsibilities

• Design, develop, and deploy production ML models for ego-motion estimation and localization across vehicle sensors.
• Develop scalable training/evaluation workflows using PyTorch and distributed infrastructure.
• Improve state estimation and sensor fusion algorithms for robust pose, velocity, and acceleration estimation.
• Analyze large-scale vehicle data to characterize performance and drive improvements.
• Develop production-ready software in C++ and Python across the full lifecycle.
• Define evaluation/verification strategies to ensure localization quality and safety.
• Make architecture decisions balancing performance, robustness, and production constraints.
• Collaborate with perception, mapping, planning, controls, and platform teams.
• Provide technical leadership through design reviews, mentoring, and best practices.

Skills

Python

C++

PyTorch

3D geometry

Probabilistic estimation

Sensor fusion

Multimodal datasets

Cross-functional collaboration

Communication

Education

Bachelor’s degree in CS/Software Engineering/Robotics

Master’s degree

PhD

Tools

ROS

Kubernetes

Ray

Job description

Torc is seeking a Senior Machine Learning Engineer - Localization to design, develop, and deploy production ML models for ego-motion estimation and localization in autonomous trucks. You will work with Python, C++, PyTorch, and sensor fusion across camera, LiDAR, radar, and other vehicle sensors in a hybrid work setting in Ann Arbor, MI or remote within the US.

You will collaborate with perception, mapping, planning, controls, and platform teams, lead design reviews, and help shape