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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
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11

Jobs (407)

489 AI · 1524 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 14Pretrain · 19Post-train · 28Serve · 126Agent · 205Eval Gate · 15Ship · 82
Function
AllEngineering · 407Research · 50Product · 32
Country
AllUnited States · 301India · 45Singapore · 33United Kingdom · 21Canada · 17Switzerland · 16Poland · 15Taiwan · 11Israel · 7Mexico · 5Brazil · 4Australia · 3France · 3Japan · 3Spain · 3Sweden · 2Chile · 1China · 1Germany · 1Hong Kong · 1Romania · 1South Korea · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Design Verification Engineer, PhD, Early Career
This role focuses on the design and verification of AI/ML hardware accelerators (TPUs), involving architecture definition, performance modeling, RTL design, and hardware/software co-design. The engineer will work on optimizing ML workloads and developing efficient design verification strategies for next-generation TPUs, leveraging AI techniques for physical design convergence.
ServeEngineeringBengaluru, Karnataka, IndiaOct '257
Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube
Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership.
401–407 of 407← Prev1…89Next →
ShipServe
Engineering
Mountain View, CA +1
Oct '25
7
Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube
Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization.
ShipDataEngineeringMountain View, CA +2Sep '257
Software Engineering Manager II, Google Cloud
Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on delivering AI and Infrastructure at scale. The role involves technical leadership, team management, setting priorities, developing roadmaps, and guiding system designs, with a focus on enabling advanced AI models and delivering computing power.
ServeEngineeringBengaluru, Karnataka, India +1May '257
Software Engineer, PhD, Early Career, Campus, 2025 Start
Software Engineer with a PhD, focusing on AI/ML infrastructure and systems within Google Cloud. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, triaging and debugging complex technical issues, and collaborating on design, analysis, and development across the stack. The focus is on building and scaling AI/ML capabilities on Google's frameworks and infrastructure, contributing to products used by billions.
ServeEngineeringBengaluru, Karnataka, IndiaApr '257
Software Engineer, Early Careers, PhD, Cloud AI
Software Engineer role focused on implementing and designing Search features, leveraging advanced GenAI capabilities and LLM concepts, with a focus on Kubernetes-based infrastructure for scalability and performance.
ServeEngineeringWarsaw, PolandMar '257
Silicon Architecture/Design Engineer, PhD, Early Career
Silicon Architecture/Design Engineer focused on developing next-generation TPUs for AI/ML workloads. Responsibilities include workload characterization, architecture specification, power/performance modeling, RTL design, hardware/software codesign, and leveraging AI techniques for physical design. The role requires a PhD and experience with accelerator architectures and data center workloads.
ServeEngineeringBengaluru, Karnataka, IndiaFeb '257