Research Engineer / Scientist, Alignment Science
Anthropic- Full Time
- Junior (1 to 2 years)
Candidates must possess a BS in Computer Science, Mathematics, or a related technical field, or equivalent industry experience. A demonstrated track record in developing novel and impactful reinforcement learning systems is required, along with strong programming skills in Python and experience in deep learning frameworks such as PyTorch. A solid understanding of mathematical concepts, including algebra, geometry, and analysis, is also necessary. Preferred qualifications include an MS or PhD in a relevant field and experience in applying RL to formal methods, as well as a proven record of high-quality research through publications, patents, or software contributions.
The Research Engineer will lead and conduct high-quality research at the intersection of reinforcement learning and formal methods, focusing on mathematical theorem proving. They will develop and implement novel RL algorithms and models for theorem proving, collaborate with a multidisciplinary team to integrate RL techniques with formal methods, and stay updated on the latest developments in RL, formal methods, and related fields.
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