Senior, ML Engineer - Tracking

What you'll do

• Build and improve multi-object tracking models, sensor-fusion algorithms, and scalable training and evaluation workflows.
• Analyze vehicle data, validate tracking safety and quality, and develop production software in C++ and Python.
• Make technical design decisions and collaborate across teams while providing technical leadership and mentorship.

What they ask for

• Bachelor’s degree in a related field and 6+ years of relevant industry experience, or a Master’s degree and 3+ years, or a PhD and 1+ year.
• Experience with AV or robotics perception systems and developing and deploying ML models for perception, localization, or sensor fusion.
• Proficiency with PyTorch and understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
• Experience with large multimodal datasets and strong Python and C++ software engineering fundamentals.

Nice to have

• Experience with state estimation methods such as factor graphs or Kalman filtering; distributed computing tools such as Ray or Kubernetes.
• Knowledge of embedded and real-time deployment, simulation, synthetic data, uncertainty-aware ML, open-source frameworks, or ISO 26262.

Pay

$177,300 — $212,800 USD (base salary)

Tools

PyTorch, C++, Python, Ray, Kubernetes, ISO 26262

AI focus

Develop and deploy ML models for multi-object tracking, learned pose and kinematic estimation, and sensor fusion using vehicle sensor data.