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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
Hiring velocityscroll left for older weeks
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Jobs (4)

111 AI · 989 total active
FilteredStageAgent×FunctionEngineering×CountryIndia×Clear all
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
Senior Machine Learning Engineer
Uber is seeking a Senior Machine Learning Engineer for their Customer Obsession team to design, develop, and productionize ML solutions for customer support. The role involves generative AI, agentic AI, NLP, and distillation techniques to enhance customer experience and achieve cost savings.
AgentPost-trainEngineeringBangalore, India1w ago7
Sr ML Engineer
Senior ML Engineer role focused on building and productionizing ML models for Uber's Offers team, enhancing personalization and promotions. The role involves owning the end-to-end ML lifecycle, from data pipelines to low-latency serving, and collaborating cross-functionally to drive business impact.
AgentServe
Engineering
Bangalore, India
6w ago
7
Senior Machine Learning Engineer, Customer Obsession
Senior Machine Learning Engineer for Uber's Customer Obsession team, focusing on enhancing customer support experience and driving cost savings through ML solutions. The role involves designing, developing, and productionizing generative AI, agentic AI, and NLP models, with a strong emphasis on experimental design and collaboration.
AgentPost-trainEngineeringBangalore, India +1Feb 277
Sr. ML Engineer
Senior ML Engineer on the Content Platform team at Uber, focusing on building core ML capabilities for a customer support chatbot (Nova). The role involves improving response quality through observability, retrieval, ranking algorithms, and content strategies. Key responsibilities include defining observability and evaluation frameworks, developing retrieval and ranking algorithms (semantic search, RAG), building feedback loops, and collaborating with stakeholders to deliver production systems.
AgentEval GateEngineeringBangalore, IndiaJan 237