Staff Machine Learning Engineer
Intuit
At a glance
AI generatedAs a Staff Machine Learning Engineer at Uber's AV Labs in Sunnyvale, you will lead the development of advanced autonomy algorithms and models that enhance semantic understanding from complex urban driving data. Your role involves setting technical direction, designing large-scale ML systems, mentoring senior engineers, and influencing multiple teams to ensure rigorous experimentation and excellence. You will define requirements for high-quality datasets and auto-labeling systems, ensuring rapid evolution of ML infrastructure. Additionally, you will bridge AV Labs with other engineering units to integrate autonomous technology at scale. Ideal candidates have 8+ years of experience in ML, Robotics, or Autonomous Systems, expertise in Python and Linux, and deep knowledge of modern AI/ML frameworks like PyTorch. Preferred qualifications include a PhD in relevant fields, extensive C++ and CUDA experience, ROS understanding, and recognized expertise through publications or patents related to AV technology.
Skills
What you'll do
What we're looking for
Market check
This $232,000–$232,000 range sits above 68% of similar postings on FindRole.
Peer median band
$160,500–$260,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,250–$247,878
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 19 open roles on FindRole.
Listed pay typically runs $202,000–$202,000 across 19 roles with salary data.
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