AI Reinforcement Learning Engineer

Position: AI Reinforcement Learning Engineer Role
Join Anthropic as a Research Engineer focusing on AI and reinforcement learning. Utilize advanced chip design skills to improve AI systems' capabilities in silicon production.

In the Code RL team at Anthropic, your work will directly impact AI's design abilities, particularly in silicon hardware. You'll be responsible for developing RL environments, optimizing design processes, and shaping experiment roadmaps. This collaborative role ensures that your research influences real-world applications in safe AI development.

Key Responsibilities:

• Design and evaluate RL environments for chip design

• Optimize latency in EDA-tool processes

• Shape research decisions through experimental work

• Integrate findings into production training

• Work closely with engineering teams and researchers

Requirements:

• Strong background in ASIC or FPGA design techniques

• Proficient in industry EDA tools and methodologies

• Proven experience from specification to silicon execution

• Capability to combine research exploration and engineering

• Commitment to developing responsible AI systems

Push the boundaries of AI design at Anthropic while honing your engineering skills in reinforcement learning.
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