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Uber is actively hiring for 130 AI-related roles, with a significant focus on agents, which accounts for 40% of their open positions. Application roles also represent a substantial portion of their AI hiring at 29%. The majority of these roles are within Engineering, with the United States being the primary hiring country. Frequent technology tags include model serving, recommender systems, and agent orchestration, suggesting a direction towards deploying and managing AI systems.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 95 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).

Hiring
95 / 120
Momentum (4w)
↓-96 -34%
189 opens last 4w · 285 prior 4w
Salary range · avg $224k
$142k–$336k
USD · disclosed roles only
Tracked since
Mar '25
last role 5w ago
Hiring velocityscroll left for older weeks
1 new role
Feb 21
1 new role
Jul 3
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4 new roles
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5 new roles
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15 new roles
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Jan 5
35 new roles
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Feb 2
46 new roles
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Mar 2
84 new roles
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Apr 6
69 new roles
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May 4
58 new roles
11
72 new roles
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72 new roles
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63 new roles
Jun 1
56 new roles
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25 new roles
22

Frequently asked questions

  • What AI roles is Uber hiring for?

    Uber currently has 86 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), 2026 PhD Applied Research Project (3 months), Aarhus, 2026 PhD Research Intern, India, 2026 PhD Software Engineering Internship, Security, Amsterdam, Agentic GTM Lead. Most positions are in Engineering and Product.

  • What stage of AI development does Uber focus on?

    Uber's active AI hiring is concentrated in: agents (50%), application (19%), data (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Uber hiring AI talent?

    Uber is hiring AI talent in: United States (67 roles), India (12 roles), Netherlands (7 roles), Denmark (1 role).

  • What skills does Uber look for in AI roles?

    Job postings at Uber most frequently mention: Machine Learning, Production ML Systems, Autonomous Driving, Robotics, Generative AI.

  • How many AI roles has Uber posted recently?

    In the past 30 days, Uber has posted 5 new AI-related roles. That is a -84% change versus the prior 30 days (32 → 5).

Jobs (6)

55 AI · 823 total active
FilteredFunctionEngineering×CountryNetherlands×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 13Pretrain · 1Post-train · 2Serve · 5Agent · 43Eval Gate · 6Ship · 16
Function
AllProduct · 618Engineering · 189Research · 6
Country
AllUnited States · 370Japan · 49India · 47Netherlands · 43Germany · 34United Kingdom · 30Brazil · 25Australia · 24Taiwan · 23France · 21Mexico · 21Canada · 17Poland · 15Argentina · 13Chile · 13Hong Kong · 12Denmark · 11Spain · 11Colombia · 7Belgium · 6Finland · 6Portugal · 6South Africa · 5Sweden · 5Ireland · 3New Zealand · 3Austria · 2Greece · 2Italy · 2South Korea · 2Switzerland · 2Turkey · 2Costa Rica · 1Egypt · 1Peru · 1Philippines · 1Singapore · 1United Arab Emirates · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Head of EMEA Risk Operations
Lead Uber's regional fraud strategy and operational execution in EMEA, focusing on deploying and operationalizing AI-enabled tools to detect, investigate, and prevent fraud. This role involves shaping product roadmaps, building systems for proactive risk posture, and navigating complex regulatory environments.
AgentEngineeringAmsterdam, Netherlands5w ago7
Sr Applied Scientist
Senior Applied Scientist at Uber to build and deploy ML/AI solutions in production, taking ideas from concept to real-world systems. The role involves end-to-end work from problem definition to production integration, focusing on classification, prediction, anomaly detection, and risk scoring. It also includes improving the reliability and robustness of AI systems, including LLM-based applications, and applying model adaptation techniques like fine-tuning.
Ship
Serve
Engineering
Amsterdam, Netherlands
Apr 29
7
2026 PhD Software Engineering Internship, Security, Amsterdam
PhD internship focused on AI-first security, researching and implementing AI agents to interact with security platforms, building models for identity risk assessment, and developing LLM-driven layers for vulnerability prioritization within Uber's production ecosystem.
AgentEngineeringAmsterdam, NetherlandsMar 177
Staff Scientist
Staff Applied Scientist on the Earner team at Uber, focusing on building the best platform for drivers and couriers. The role involves setting science strategy for personalization, marketplace efficiency, reliability, and experimentation guardrails. Responsibilities include designing and analyzing large-scale experiments, building statistical, optimization, and machine learning models, defining metrics and observability, leading multi-team initiatives, advancing causal inference and optimization frameworks, mentoring scientists, and communicating with leadership. Requires an M.S. or Ph.D. in a quantitative field with 8+ years of industry experience, deep expertise in statistical inference, experimental design, causal inference, machine learning, optimization, and proficiency in Python and SQL with production-minded code quality.
ShipEngineeringAmsterdam, NetherlandsNov '257
Sr Cloud Engineer - Capacity Planning and Operations
This role focuses on cloud resource demand forecasting, capacity supply management, strategic cost optimization, and capacity safety initiatives within Uber's cloud infrastructure. The engineer will collaborate with various teams to operationalize cloud resource allocation, streamline processes, and ensure cost-effective and scalable infrastructure, requiring a deep understanding of capacity management, forecasting, and cloud platforms.
—EngineeringAmsterdam, NetherlandsJan 220
IT Software Asset Management Lead
This role focuses on IT Software Asset Management (SAM) and IT Asset Management (ITAM) within Uber's IT Supply Chain Operations. The Lead will manage enterprise application licensing, track software usage, optimize hardware inventory, and oversee the Procure-to-Pay (P2P) process. Responsibilities include vendor invoice reconciliation, managing software and hardware lifecycles, analyzing operational data, and leading cross-functional projects to optimize IT spend and ensure compliance. This is not an AI/ML development role, but rather an operational and engineering role within an enterprise IT context.
—EngineeringAmsterdam, NetherlandsOct '250