This role pays more than
93%
of similar roles. Most pay
$190,750–$256,750
— the shaded band above.
At the midpoint, this role pays about
$302k
versus about
$224k
for comparable roles.
Based on 240 similar postings.
Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Uber currently has
95 open roles
on FindRole.
Listed pay typically runs
$232,000–$232,000
across 76 roles with salary data.
As a Principal ML Engineer at AV Labs in San Francisco or Sunnyvale, you will lead the development of advanced autonomy algorithms and models to enhance semantic understanding from massive driving data, enabling better data mining and causal modeling. You will collaborate with big data, compute, and cloud engineering teams to build platforms that harness scale and complexity for real-world applications. Your responsibilities include strategic semantic modeling, scene and behavior causality understanding, technical mentorship of senior engineers, and cross-organizational leadership to integrate and deploy semantic models at scale. The role requires 10+ years of experience in ML or robotics, expertise in Python and Linux environments, and proficiency with modern AI/ML frameworks like PyTorch and TensorFlow. Bonus points for a PhD in Robotics or Machine Learning, extensive C++ and CUDA experience, and contributions to autonomous system architectures and offline evaluation simulation.
Python
PyTorch
Linux
C++
Autonomous Driving
ML Model Deployment
High Performance Computing
Data Mining
Deep Scene Understanding
Causal Modeling
Sensor Data Processing
Auto-Labeling
Scalable ML Systems
Technical Leadership
Cross-Functional Collaboration