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Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).

Hiring
489 / 489
Momentum (4w)
↑+622 +170%
987 opens last 4w · 365 prior 4w
Salary range · avg $233k
$98k–$505k
USD · disclosed roles only
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
1 new role
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11

Jobs (3)

489 AI · 1524 total active
FilteredStageServe×CountryUnited Kingdom×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 21Pretrain · 19Post-train · 28Serve · 149Agent · 223Eval Gate · 17Ship · 106
Function
AllEngineering · 1229Product · 231Research · 64
Country
AllUnited States · 881India · 176Singapore · 76Poland · 75Taiwan · 63United Kingdom · 43Israel · 39Switzerland · 33Canada · 26Japan · 18Mexico · 18Australia · 17Ireland · 17Brazil · 14Germany · 7Spain · 7Romania · 5China · 4France · 4Sweden · 4South Korea · 3Denmark · 2Malaysia · 2Vietnam · 2Argentina · 1Chile · 1Czech Republic · 1Greece · 1Hong Kong · 1Indonesia · 1Italy · 1Norway · 1Philippines · 1Saudi Arabia · 1Thailand · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Research Engineer, Deployment Performance, Robotics, DeepMind
Research Engineer focused on optimizing and maintaining serving infrastructure for robotics models, including performance analysis and inference optimization on TPUs, to accelerate research and deployment in a fast-paced environment.
ServeEval GateEngineeringLondon, United Kingdom2w ago8
Software Engineer III, Tensor Processing Units, AI/ML
Software Engineer III role focused on developing and supporting AI/ML frameworks and compilers for Google Cloud's Tensor Processing Units (TPUs) and Google Processing Units (GPUs). The role involves enabling large-scale training and inference of advanced ML models, including generative models, computer vision, NLP, and speech, with a focus on PyTorch. Collaboration with internal teams and external researchers is key to advancing the PyTorch-in-Cloud offering.
ServePost-train
Engineering
London, United Kingdom
3w ago
8
Software Engineer, TPU Compiler, PhD, Early Careers
Software Engineer role focused on developing and optimizing the TPU compiler for large-scale machine learning models. This involves writing C++ code, designing performance optimizations, and applying AI techniques to the compiler itself. The role supports both internal Google teams (like DeepMind) and external Google Cloud customers.
ServeEngineeringLondon, United KingdomJan 297