Anthropic is seeking a research-focused engineer to design, run, and interpret large-scale reinforcement learning experiments. You will work at the intersection of research and systems, debugging complex issues and scaling experiments to production-ready pipelines.
The role emphasizes strong Python skills, experience with distributed ML systems, and a commitment to responsible AI. A hybrid working arrangement is expected, with visa sponsorship where possible.
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RL Scaling Scientist | End-to-End Research to Production employer: Humanloop
Anthropic is an exceptional employer that prioritises the well-being and growth of its employees while fostering a collaborative and innovative work culture. With a focus on creating reliable AI systems, employees are encouraged to take ownership of their projects and contribute to meaningful advancements in technology. Located in a vibrant office space, the company offers competitive compensation, generous benefits, and flexible working hours, making it an ideal place for those looking to make a significant impact in the field of AI.
