Senior ML Engineer - Real-Time AV Tracking (Remote)

Gomyneed Private Limited; United States; Remoto; USD 177.000 - 213.000; Tempo pieno

Vantaggi offerti da questo lavoro

Stock options

Medical, dental, vision

401K plan with match

Remote-friendly

Descrizione del lavoro

Torc Robotics is seeking an experienced Senior ML Engineer focused on tracking for autonomous trucks. You will design and deploy production ML models for multi-object tracking using camera, LiDAR, radar, and other sensors.

You’ll build scalable training pipelines with PyTorch, optimize models, and collaborate with perception, mapping, and controls teams to deliver robust autonomous driving capabilities.

Competenze

• Bachelor’s degree in CS/Engineering with 6+ years robotics/AV experience, or higher degree with applicable experience.
• Experience with AV/robotics perception systems (tracking, detection, SLAM, scene modeling).
• Proficiency with PyTorch and ML tooling for training, inference, optimization.
• Strong Python and C++ software engineering fundamentals.

Mansioni

• Design, develop, and deploy production ML models for multi-object tracking across sensors.
• Develop scalable training and evaluation workflows using PyTorch and distributed training.
• Improve tracking and sensor fusion algorithms for robust pose and kinematics.
• Analyze large vehicle datasets to identify failures and drive improvements.
• Collaborate with perception, mapping, planning, and controls teams on integration.
• Provide technical leadership through reviews and best practices.

Conoscenze

PyTorch

C++

Python

Robotics fundamentals

3D geometry

Sensor fusion

Large multimodal datasets

Model deployment

Cross-functional teamwork

Software engineering

Formazione

Bachelor’s degree in Computer Science or Engineering

Master’s degree (preferred) or PhD with relevant experience

Strumenti

Ray

Kubernetes

Descrizione del lavoro

Torc Robotics is seeking an experienced Senior ML Engineer focused on tracking for autonomous trucks. You will design and deploy production ML models for multi-object tracking using camera, LiDAR, radar, and other sensors.

You’ll build scalable training pipelines with PyTorch, optimize models, and collaborate with perception, mapping, and controls teams to deliver robust autonomous driving capabilities.