Research Engineer, Production Model Post Training
Anthropic(3 days ago)
About this role
Anthropic is seeking a Research Engineer to work on post-training techniques for large language models, focusing on enhancing model capabilities, alignment, and safety through research and engineering. The role involves implementing, scaling, and optimizing post-training methodologies that influence the quality and safety of AI systems.
Required Skills
- Python
- Deep Learning
- Distributed Systems
- Model Fine-tuning
- ML Pipelines
- Model Evaluation
- Alignment Techniques
- RLHF
- Large Language Models
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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