"reinforcement learning" Jobs
203 open tech roles matching “reinforcement learning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, reinforcement learning. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 203 results
Lead program design and facilitate impactful learning experiences for CX professionals at Gusto.
Join Anthropic as a Software Engineer to design and maintain encoding libraries for AI systems like Claude.
Join Distyl AI as a senior researcher to innovate in multi-agent systems and redefine AI utilization in enterprise.
Join Together AI as an AI Infrastructure Engineer to ensure smooth operation of user-facing services and production systems.
Join LangChain as a Research Engineer to enhance the capabilities of the LangSmith Engine for AI agents.
Join Together AI as a Senior Technical Recruiter to scale world-class AI research teams in a dynamic and competitive environment.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth through algorithm development.
Join Perplexity AI as a Senior Applied AI Engineer to shape agent capabilities and enhance user experiences with cutting-edge AI technologies.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth.
Own a portfolio of high-priority AI-native and enterprise accounts as a Strategic Account Executive at Together AI.
Own a portfolio of high-priority AI-native and enterprise accounts, driving revenue and managing complex sales cycles.
Join Snorkel AI as a Research Scientist to advance high-quality data and environments for AI agents in a hybrid role.
Join Together AI as a Senior Product Engineer to enhance core product surfaces and deliver user-valued features.
Join Mariana Minerals as a Senior Data Engineer to design and build data pipelines for autonomous mineral refining operations.
Join Mercury as a Senior Software Engineer - SRE to enhance operational maturity and reliability across product teams.