below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$211,200–$254,750.
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.
The Staff Machine Learning Engineer - Semantics - AV Labs joins a multi-disciplinary team focused on unlocking real-world, long-tail driving data for autonomous technology. In this role, you will set the technical roadmap for autonomous driving algorithm development, designing architectural foundations for large-scale machine learning systems and end-to-end AI-driven pipelines. You will lead the delivery of state-of-the-art systems, define requirements for high-quality datasets and auto-labeling, and mentor senior engineers. The position requires expert-level proficiency in Python, Linux environments, and PyTorch, with preferred experience in C++, CUDA, and the Robot Operating System. You will solve complex urban edge cases by building platforms that harness real-world complexity to develop core components of the autonomous driving stack within a physical AI context.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Python
PyTorch
C++
Linux
Machine Learning
Computer Vision
Robotics
High-Performance Computing
System Design
Algorithm Development
Data Mining
Auto-labeling
Physical AI
Causal Modeling
PyTorch
Transformers
Distributed Training
LLM
Generative AI
Deep Learning
Retrieval Systems
Ranking
Computer Vision
ML Optimization
Geospatial AI
Search
Recommendations
Conversational AI
Python
PyTorch
C++
CUDA
Linux
ROS
Machine Learning
Computer Vision
Foundation Models
Robotics
Autonomous Systems
System Design
Data Mining
Auto-labeling Systems