AI-Agency Scored

Find roles that are actually about AI.

Every job is scored 0–100 for AI agency: how much the role builds AI systems and uses AI tools day-to-day. Aggregated from public company feeds. Updated every 12 hours. No scraping. No recruiter spam.

Scored 0–100 Public ATS feeds only · no scraping Refreshed every 12h
popular: Prompt Engineer ML Infra Applied AI Research Scientist Developer Advocate Forward Deployed boolean ok: AND OR NOT "phrase" word*
Build AI systems
AI-core (75–100) · research, infra, agents, training
Use AI on the job
AI-fluent (50+) · teams that welcome AI tools daily
Browse AI-core jobs → AI-fluent roles AI-welcome teams Companies Remote-only Salary data
2,791
Active jobs worldwide
95
Companies
0–100
AI-Agency scale
12h
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Top roles right nowranked by AI-agency score

🌐 Showing jobs worldwide. Back to US + remote →
Anthropic ⚡ AI-native · 🔄 synced 5h ago
Research Engineer / Scientist, Alignment Science
📍 San Francisco, US 🌐 Remote 💰 $350K–$500K 🛂 Visa sponsor 🛠 AI tools welcome at work 🤝 AI-OK interview · Senior
Research Engineer at Anthropic building and running ML experiments on AI alignment and safety. Focus on scalable oversight, AI control, and stress-testing techniques for advanced AI systems.
PythonPyTorchKubernetesLLMsreinforcement learning
93
AI-core
Cursor ⚡ AI-native · 🔄 synced 5h ago
Research Scientist
📍 San Francisco, US 🛠 AI tools welcome at work · Senior
Research Scientist at Cursor building frontier coding agents. Focus on RL training, reward modeling, and data quality for scaling AI-assisted development tools.
RLPyTorchPython
93
AI-core
Cognition ⚡ AI-native · 🔄 synced 5h ago
Research, Post-Training
📍 San Francisco, US 🛠 AI tools welcome at work · Senior
Research scientist at Cognition building post-training methods for AI agents. Focus on training recipes, evaluation design, alignment techniques (RLHF, RLAIF), and scaling methodologies for Devin and Windsurf.
RLHFRLAIFPyTorchJAXdistributed training
93
AI-core
Anthropic ⚡ AI-native · 🔄 synced 5h ago
Research Engineer, Universes
📍 San Francisco, US 🌐 Remote 💰 $500K–$850K 🛂 Visa sponsor 🛠 AI tools welcome at work · Senior
Research Engineer at Anthropic building next-generation training environments for agentic AI systems. Role blends research and engineering, focusing on reinforcement learning, environment design, and capability evaluation.
PythonPyTorchJAXReinforcement LearningSimulationDistributed Systems
91
AI-core
Anthropic ⚡ AI-native · 🔄 synced 5h ago
Research Scientist, Interpretability
📍 San Francisco, US 🌐 Remote 💰 $350K–$850K 🛂 Visa sponsor 🛠 AI tools welcome at work · Senior
Research Scientist at Anthropic focused on mechanistic interpretability of large language models. Develop methods to reverse-engineer neural network algorithms, design experiments at scale, and build infrastructure for understanding model behavior.
PythonPyTorchJAXTransformers
91
AI-core
Airbnb · 🔄 synced 5h ago
Principal AI/ML Researcher / Engineer In Reasoning, Planning, and Decision-making systems
📍 San Francisco, US 🛠 AI tools welcome at work · Principal
Principal AI/ML Researcher and Engineer at Airbnb building reasoning, planning, and decision-making systems. Focus on post-training intelligence frameworks, Large Reasoning Models, reinforcement learning, and multi-agent systems for personalization and operational coordination.
LLMLRMReinforcement LearningKnowledge GraphsMulti-agent systemsGraph neural networks
91
AI-core
Pika ⚡ AI-native · 🔄 synced 5h ago
Multimodal LLM Researcher (MLLM)
📍 Palo Alto, US 🌐 Remote 🛠 AI tools welcome at work · Senior
Multimodal LLM Researcher at Pika designing and building foundational technologies for real-time multimodal generation (text, image, video, audio) and agentic systems. Focus on diffusion models, model training/finetuning, and dataset curation for creative infrastructure.
PythonPyTorchTensorFlow
91
AI-core
Cognition ⚡ AI-native · 🔄 synced 5h ago
Research, Mid-Training
📍 San Francisco, US 🛠 AI tools welcome at work · Mid
Research scientist at Cognition focused on mid-training optimization for large language models. Responsibilities include data mix design, synthetic data pipelines, annealing schedules, and context length extension to improve model reasoning and coding capabilities.
PythonPyTorch
91
AI-core
Mistral AI ⚡ AI-native · 🔄 synced 5h ago
Applied Scientist / Research Engineer - Singapore
📍 Singapore, SG 🛠 AI tools welcome at work · Senior
Applied Scientist / Research Engineer at Mistral AI building state-of-the-art models across text, image, and speech modalities. Focus on pre-training, post-training, data curation, and deploying models on large GPU clusters.
PyTorchJAXPython
91
AI-core
Anduril Industries · 🔄 synced 5h ago
Director of AI Engineering & Research, Frontier Systems
📍 Washington, US 💰 $335K–$444K 🛠 AI tools welcome at work · Director
Director of AI Engineering & Research at Anduril Industries leading machine learning teams building agentic and perception systems for defense applications. Owns technical roadmap for embedded warfighting AI, ML infrastructure, and safety-critical deployments.
PyTorchTensorFlowdistributed trainingmodel quantizationon-device inferenceVLA models
90
AI-core
GitLab 🔷 AI-first · 🔄 synced 5h ago
Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity
📍 US 🌐 Remote-only 🛠 AI tools welcome at work · Principal
Distinguished Engineer at GitLab pioneering autonomous agentic SDLC capabilities. Leads hands-on experimentation, reference architecture design, and productization of AI agents for software development workflows across internal teams and customer platforms.
LLMagentic frameworksdistributed systemsmulti-tenant architectureobservability
90
AI-core
Intercom · 🔄 synced 5h ago
Principal Engineer, Fin AI Agent
📍 Dublin, IE 🛠 AI tools welcome at work · Principal
Principal Engineer at Intercom building Fin, an AI customer service agent. Role combines hands-on AI system development, strategic technical leadership across 12+ teams, and experimental work on LLM-powered features at scale.
Claude CodeMCP serversLLM inferenceAB testing frameworks
89
AI-core
Intercom · 🔄 synced 5h ago
Principal Engineer, Fin AI Agent
📍 London, GB 🛠 AI tools welcome at work · Principal
Principal Engineer at Intercom building Fin, an AI customer service agent. Role combines hands-on AI system development, strategic technical leadership across 12+ teams, and experimental work on LLM-powered features at scale.
Claude CodeMCP serversLLM inferencedistributed systems
89
AI-core
StackBlitz · 🔄 synced 5h ago
Staff Applied AI Engineer
🌐 Remote-only 🛠 AI tools welcome at work · Staff
Staff Applied AI Engineer at StackBlitz leading the technical direction of AI agents that turn natural language into production-ready applications. Shapes agent architecture, multi-provider LLM strategy, tool use systems, and evaluation frameworks across the organization.
TypeScriptLangGraphVercel AI SDKDSPy
89
AI-core
Pinterest · 🔄 synced 5h ago
Director, Machine Learning Engineering – Content & User Understanding
📍 San Francisco, US 🌐 Remote 💰 $267K–$550K 🛠 AI tools welcome at work 🤝 AI-OK interview · Director
Director of Machine Learning Engineering at Pinterest leading the Content and User Understanding team. Oversees multiple ML and backend engineering teams, sets technical strategy for foundational models powering homefeed, search, ads, and shopping surfaces. Drives innovation in VLM and LLM approaches at scale.
VLMLLMdeep learningrecommendation systemsadssearch
89
AI-core
Scale AI ⚡ AI-native · 🔄 synced 5h ago
Senior / Staff Machine Learning Research Scientist, Agents
📍 San Francisco, US 💰 $302K–$378K 🛠 AI tools welcome at work 🤝 AI-OK interview · Senior
Senior/Staff ML Research Scientist at Scale AI focusing on agent capabilities and environments. Research on LLM agents, RL reward signals, and benchmarking autonomous agent performance across real-world scenarios.
PyTorchJAXTensorFlowLangGraphOpenHandsSwarm
89
AI-core
Decagon ⚡ AI-native · 🔄 synced 5h ago
Staff Research Engineer
📍 New York City, US 💰 $200K–$400K 🛠 AI tools welcome at work · Staff
Staff Research Engineer at Decagon building conversational AI models and agents for enterprise support. Focus on training, evaluation, and orchestration to improve reliability and efficiency in production deployments.
PythonLLMsPyTorchJAXTensorFlow
89
AI-core
Decagon ⚡ AI-native · 🔄 synced 5h ago
Staff Research Engineer, Voice + Speech
📍 San Francisco, US 💰 $200K–$400K 🛠 AI tools welcome at work · Staff
Staff Research Engineer at Decagon building voice and speech models for conversational AI agents. Focus on training, evaluation, and production deployment of real-time voice systems for enterprise support.
PythonLLMsspeech recognitionvoice agents
89
AI-core
Decagon ⚡ AI-native · 🔄 synced 5h ago
Staff Research Engineer
📍 San Francisco, US 💰 $200K–$400K 🛠 AI tools welcome at work · Staff
Staff Research Engineer at Decagon building conversational AI models and agents for enterprise support. Focus on model training, evaluation, orchestration, and production deployment of LLM-based systems.
PythonLLMPyTorchJAXTensorFlow
89
AI-core
Anduril Industries · 🔄 synced 5h ago
Generative AI Chief Engineering Lead
📍 US 💰 $254K–$336K 🛠 AI tools welcome at work · Lead
Generative AI Chief Engineering Lead at Anduril Industries designing agentic software systems and reinforcement learning algorithms for autonomous vehicles. Role involves developing advanced AI models for sensor perception, decision-making, and end-to-end system integration in defense technology.
PythonCC++PyTorchTensorFlowLLMs
89
AI-core
Anduril Industries · 🔄 synced 5h ago
AI Chief Engineering Lead
📍 US 💰 $254K–$336K 🛠 AI tools welcome at work · Lead
AI Chief Engineering Lead at Anduril Industries designing autonomous vehicle systems using deep learning and reinforcement learning. Role focuses on developing agentic software, sensor perception, and end-to-end system integration for military autonomous platforms.
PythonCC++PyTorchTensorFlowLLMs
89
AI-core
Anduril Industries · 🔄 synced 5h ago
AI Chief Engineering Lead
📍 US 🌐 Remote-only 💰 $254K–$336K 🛠 AI tools welcome at work · Lead
AI Chief Engineering Lead at Anduril Industries designing autonomous vehicle systems using deep learning and reinforcement learning. Role focuses on developing agentic software, sensor perception, and end-to-end system integration for military autonomous platforms.
PythonCC++PyTorchTensorFlowLLMs
89
AI-core
Gusto · 🔄 synced 5h ago
Sr. Staff AI/ML Engineer
📍 Denver, US 🌐 Remote 💰 $245K–$321K 🛠 AI tools welcome at work · Staff
Sr. Staff AI/ML Engineer at Gusto building the CoreX AI Platform. Design and scale agent orchestration, RAG infrastructure, eval tooling, and model serving for internal teams shipping AI-powered products.
PyTorchTensorFlowHugging FacePythonGCPAWS
89
AI-core
Traba · 🔄 synced 5h ago
Staff Software Engineer (AI Agents)
📍 New York City, US 💰 $240K–$300K 🛠 AI tools welcome at work · Staff
Staff Software Engineer building Traba's agentic platform for industrial supply chain operations. Lead end-to-end agent architecture, orchestration, evals, and customer system integrations at a Series B startup.
PythonTypeScriptNode.jsPostgreSQLKafkaRabbitMQ
89
AI-core
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By role family

Engineering 1434 ML / Research 465 Product 250 Customer Success 247 Data 109 Leadership 89 Sales 67 Operations 60 Design 43 Marketing 11

By country

US 1962 CA 142 GB 137 IN 104 FR 87 IE 52 AU 48 DE 42

How the AI-Agency Score works

Claude reads every job description and scores two axes:

AI-Build Score
How much does this role build AI systems? ML research, LLM infra, training/inference, agentic architecture. All score high.
AI-Use Score
How much does this role use AI tools day-to-day? Prompt engineering, agentic workflows, AI-powered marketing, Cursor/Claude-heavy dev.

Agency = round(0.6 · build + 0.4 · use) · both updated on every job re-ingestion

85 AI-core (75–100): role IS AI 62 AI-fluent (50–74): role expects AI fluency 35 AI-touching (20–49): AI in the room

Full rubric + academic citations →

A note on hiring

Beyond the role itself, we flag two things candidates actually care about:

🛠 AI tools welcome at work team uses Cursor / Claude / Copilot on the job
🤝 AI-OK in interviews no AI-in-interview gotchas

These two often diverge: a job can require AI-fluency on the job but forbid AI during interviews. See AI-welcoming teams →