Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
About the role
- Research Engineer improving AI models through RL environment design and vendor management. Exciting role merging ML research, data operations, and project management.
Responsibilities
- Improve and execute fine-tuning strategies for adapting Claude to new domains
- Manage technical relationships with external data vendors
- Collaborate with domain experts to design data pipelines
- Explore creating RL environments for high value tasks
- Develop and improve QA frameworks to catch reward hacking
- Partner with RL research and product teams
Requirements
- Experience with fine-tuning large language models for specific domains or real-world use cases
- Experience with reinforcement learning, reward design, or training data curation for LLMs
- Comfortable managing technical vendor relationships
- Strong project management and interpersonal skills
- Passionate about making AI more useful and accessible across industries
- Excited about a role that includes ML research, data operations, and project management
Benefits
- Competitive compensation
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
- Optional equity donation matching
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