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Currently tracking 111 active AI roles, with 191 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).

Hiring
111 / 111
Momentum (4w)
↓-9 -4%
191 opens last 4w · 200 prior 4w
Salary range · avg $224k
$142k–$336k
USD · disclosed roles only
Tracked since
Mar '25
last role today
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Uber

Uber

Consumer · Rideshare

Jobs (4)

111 AI · 989 total active
FilteredStagePost-train×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 11Pretrain · 1Post-train · 4Serve · 10Agent · 45Eval Gate · 4Ship · 36
Function
AllEngineering · 100Product · 7Research · 4
Country
AllUnited States · 92India · 10Brazil · 5Netherlands · 5Canada · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
2026 PhD Research Intern, India
Research Intern role focused on LLM post-training, data efficiency, and evaluation benchmarks, with a goal of publishable research and real-world impact at Uber AI Solutions.
Post-trainEval GateResearchHyderabad, India7w ago9
Senior Research Scientist, Generative AI
This role focuses on foundational and applied research in Generative AI, specifically optimizing AI Solutions gig marketplace through intelligent matching, accelerating human-in-the-loop data annotation, and developing automated evaluation systems. The candidate will drive research in LLM post-training, data efficiency, and benchmark design, with a strong emphasis on publication in top-tier AI/ML conferences.
Post-trainResearchBangalore, India +18w ago9
Sr Staff ML Engineer - Applied AI
The Applied AI team at Uber is seeking a Sr Staff ML Engineer to define the multi-year technical vision and architecture for foundation models powering discovery experiences across Mobility and Delivery. This role will focus on building a common semantic backbone for understanding users, places, merchants, items, and behavioral patterns, which will power personalization, search, agents, automation, and decision systems. The engineer will set long-term technical direction, drive alignment on strategy, and deliver measurable impact at global scale.
Post-trainAgent
Engineering
San Francisco, CA
Aug '25
8
Manager II, Science - Earner (Economics)
Manager II, Science - Earner (Economics) at Uber. This role involves leading a team of scientists to develop and implement ML solutions for enhancing the earner experience, refining ambiguous questions, developing experimental designs, and ensuring data governance. The focus is on complex product and lifecycle analysis, experimentation, measurement foundations, and modeling within the earner journey.
Post-trainEngineeringNew York, NY +2Mar 117