This role pays more than
60%
of similar roles. Most pay
$182,743–$256,803
— the shaded band above.
At the midpoint, this role pays about
$232k
versus about
$220k
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 Staff Machine Learning Engineer (IC6) on the Applied AI team at Uber, you will lead the foundation model strategy for discovery experiences in Mobility and Delivery, shaping technical direction and influencing product strategy. Your day-to-day responsibilities include driving architecture decisions that impact multiple product surfaces such as Eats, Grocery, Retail, and Mobility, leading cross-team initiatives in retrieval, ranking, personalization, and conversational AI assistants, and defining long-term investment areas for models. You will also mentor senior engineers and act as a technical multiplier across the organization. The role requires deep expertise in transformers, retrieval systems, ranking, embedding architectures, and proficiency with PyTorch and distributed training. Experience leading multi-team ML initiatives and setting technical roadmaps is preferred, along with a strong track record of connecting model improvements to business outcomes.