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ML Research Engineer — LLM Safety - Remote Eligible

Develop novel techniques to ensure the safety and responsibility of LLMs in real-world applications.
RemoteLondonNew York
Mid-Level
8 months ago

✨ 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.
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ML Research Engineer — LLM Safety - Remote Eligible
RemoteLondonNew York
Engineering
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