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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).

Hiring
995 / 995
Momentum (4w)
↑+403 +64%
1033 opens last 4w · 630 prior 4w
Salary range · avg $196k
$65k–$465k
USD · disclosed roles only
Tracked since
Oct '24
last role today
Hiring velocityscroll left for older weeks
2 new roles
Oct 7
1 new role
Feb 3
1 new role
Mar 10
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24
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1 new role
Apr 14
4 new roles
28
2 new roles
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1 new role
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3 new roles
Jun 2
1 new role
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30
2 new roles
Jul 14
12 new roles
21
3 new roles
28
4 new roles
Aug 4
5 new roles
11
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25
11 new roles
Sep 1
4 new roles
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7 new roles
Oct 6
9 new roles
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Nov 3
20 new roles
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Dec 1
14 new roles
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12 new roles
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Jan 5
22 new roles
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67 new roles
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Feb 2
71 new roles
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Mar 2
135 new roles
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Apr 6
194 new roles
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May 4
241 new roles
11

Jobs (653)

995 AI · 2722 total active
FilteredCountryUnited States×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 53Pretrain · 9Post-train · 93Serve · 124Agent · 437Eval Gate · 25Ship · 254
Function
AllEngineering · 778Research · 175Product · 42
Country
AllUnited States · 653Canada · 48United Kingdom · 18India · 17Spain · 13Australia · 11Romania · 7Belgium · 6Germany · 6Poland · 6Taiwan · 6China · 5Japan · 5Singapore · 5Brazil · 4Mexico · 4France · 3Netherlands · 3Switzerland · 3Philippines · 2Vietnam · 2Egypt · 1Estonia · 1Italy · 1South Korea · 1Sweden · 1Thailand · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Applied Scientist, Prime Video: Playback Intelligence
Senior Applied Scientist role at Amazon Prime Video focusing on Playback Intelligence. The role involves applying machine learning and data science to optimize video streaming quality, detect anomalies, and leverage LLMs and generative AI. Responsibilities include end-to-end ownership of product and user experience, translating business requirements into ML deliverables, defining research directions, conducting experiments, and mentoring junior scientists. The role requires experience in building ML models for business applications and designing AI solutions for real-world use cases.
ShipPost-trainEngineeringSeattle, WAMar '257
Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Senior Software Development Engineer focused on pre-silicon hardware/software co-development for next-generation machine learning chips (like Trainium) used in AWS. The role involves working with architecture, design, and emulation teams, writing bare-metal software and ML workloads to verify chip functionality and performance.
651–653 of 653← Prev1…1314Next →
Data
Engineering
Austin, TX
Mar '25
7
Principal Applied Scientist, Amazon Stores Economics & Science (SEAS)
Principal Applied Scientist role focused on applying machine learning, optimization, and economics to improve Amazon's Stores business, specifically in areas like delivery speed, seller fees, and LLM applications. The role involves leading a team, developing scientific models, benchmarks, and services, and deploying solutions in partnership with product teams.
ShipEngineeringPalo Alto, CAOct '247