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Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).

Hiring
206 / 231
Momentum (4w)
↓-1 0%
444 opens last 4w · 445 prior 4w
Salary range · avg $224k
$114k–$397k
USD · disclosed roles only
Tracked since
8w ago
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
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2 new roles
10
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17
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4 new roles
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2 new roles
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337 new roles
Mar 16
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Apr 6
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Jobs (3)

206 AI · 685 total active
FilteredStageData×CountryIndia×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 17Pretrain · 6Post-train · 26Serve · 37Agent · 134Eval Gate · 3Ship · 71
Function
AllEngineering · 458Product · 201Research · 26
Country
AllUnited States · 469India · 151Romania · 35Germany · 13United Kingdom · 9Canada · 7Armenia · 3France · 3Ireland · 3Japan · 3Switzerland · 2Australia · 1Netherlands · 1Spain · 1
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TitleStageFunctionLocationFirst seenAI score
Principal Scientist - Applied Research, ASML (Multimodal Foundation Models)
This role focuses on applied research for multimodal foundation models, specifically concerning the scaling, quality, and innovation of training data across image, video, and audio. The Principal Scientist will guide a team in architecture and training strategies, pioneer data ablations, lead research, optimize distributed training pipelines, and translate research into production models for Adobe's creative tools.
DataPost-trainResearchNoida, India +14w ago9
Senior Data Engineer
Senior Data Engineer at Adobe, responsible for building scalable data pipelines and applications that incorporate Generative AI and LLMs, blending structured and unstructured data. The role requires expertise in Spark, Databricks, Python, and SQL, with practical experience in AI/ML technologies and cloud platforms.
DataAgent
Engineering
Bangalore, India
2w ago
5
Data engineer
Data Engineer at Adobe in Bangalore, focusing on designing, developing, and deploying data systems and pipelines, including those for LLM workflows. The role involves architecting data models, partnering with cross-functional teams, and ensuring data quality and integration with ML models.
DataEngineeringBangalore, India6w ago5