Agentic RL Jobs
Explore Agentic RL roles on Inference Jobs and apply today.
2mo agoSC
Manager, Machine Learning Research Scientist, GenAI
Scale
San Francisco, California, United States (On-site)$239.4K – $299.3K Yearly
2mo agoXA
Member of Technical Staff - RL Infrastructure [data, evals, agent]
xAI
Palo Alto, California, United States (On-site)$180K – $440K Yearly
3mo agoAN
Research Engineer / Research Scientist, Vision
Anthropic
New York, New York, United States (Hybrid)$350K – $850K Yearly
2mo agoSC
Engineering Manager, AgentOps
Scale
San Francisco, California, United States (Hybrid)$216.2K – $270.3K Yearly
2mo agoSC
Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
Scale
San Francisco, California, United States (On-site)$252K – $315K Yearly
2mo agoSC
Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI
Scale
San Francisco, California, United States (On-site)$252K – $315K Yearly
2mo agoSC
Machine Learning Research Engineer, Agents - Enterprise GenAI
Scale
San Francisco, California, United States (On-site)$252K – $315K Yearly
3mo agoRA
Member of Technical Staff - Data Quality Engineer (Post-training)
Reflection AI
San Francisco, California, United States (On-site)
3w agoBA
3w agoSC
Research Scientist, Agent Robustness
Scale
San Francisco, California, United States (On-site)$197.4K – $246.8K Yearly
4w agoLA
Applied Research Engineer, Agents
Labelbox
San Francisco, California, United States (Hybrid)$250K – $300K Yearly
3mo agoCO
Member of Technical Staff, Integration/RL Team (Research Engineer)
Cohere
Paris, Paris, France or Remote (United States + 3 more)
3mo agoOP
1w agoAN
Research Engineer – Cybersecurity RL
Anthropic
San Francisco, California, United States (Hybrid)$300K – $405K Yearly
1mo agoNV
Senior Developer Relations Manager – Agentic AI
NVIDIA
Santa Clara, California, United States (On-site)$184K – $356.5K Yearly
1w agoAN
Machine Learning Systems Engineer, RL Engineering
Anthropic
San Francisco, California, United States (Hybrid)$500K – $850K Yearly