Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic(3 days ago)
About this role
Anthropic seeks a Research Engineer to advance reinforcement learning research and development, focusing on large language models, safety, and system scalability. The role involves both research and engineering to improve AI capabilities and safety. It is part of a collaborative team dedicated to creating beneficial and trustworthy AI systems.
Required Skills
- Python
- PyTorch
- TensorFlow
- JAX
- Kubernetes
- Distributed Systems
- Automation
- AI Safety
- Systems Design
- High Performance Computing
About Anthropic
anthropic.comAnthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. It develops large language models (branded as Claude) and offers APIs and enterprise products that let organizations integrate conversational AI with safety-focused controls, moderation, and privacy features. The company prioritizes interpretability and alignment research, publishes technical work, and engages with policymakers to reduce risks from advanced AI. Customers choose Anthropic for its safety-first approach, controllability tools, and research-driven models.
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