✨ About The Role
- The ML Research Engineer will own an LLM vertical focusing on a specific safety domain, technique, or use case.
- Responsibilities include generating high-quality synthetic data, training LLMs, and conducting rigorous benchmarking.
- The role requires delivering robust, scalable, and reproducible production code to support safe and responsible LLM deployment.
- The engineer will push the envelope by developing novel techniques and research to create harmless and helpful models.
- The research conducted will directly empower customers to deploy safe and responsible LLMs in a timely manner.
⚡ Requirements
- The ideal candidate will have deep domain knowledge in LLM safety techniques and extensive experience in designing, training, and implementing various LLM models and architectures.
- A successful candidate should be comfortable leading end-to-end projects and demonstrate adaptability and flexibility in a fast-paced environment.
- Experience in both academic and startup settings is beneficial, as the role may require quick shifts in focus based on new findings in the community.
- Candidates with a background in either attacking or defending LLMs will be preferred, showcasing their ability to contribute to safety measures.
- Strong collaboration skills are essential, as the role involves co-authoring papers, patents, and presentations with the research team.