ML Research Engineer — LLM Safety
San Francisco, CAFull-timePosted 11mo ago
About the role
ML Research Engineer focused on LLM safety at Dynamo AI, a fast-paced startup building a platform for private, compliant Gen AI models. Role centers on owning safety-focused LLM verticals, data generation, model training, benchmarking, and advancing production-grade, trustworthy LLM solutions.
Responsibilities
- Own an LLM vertical with a focus on a specific safety domain, technique, or use case (either from defense or red-team attack perspective)
- Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking.
- Deliver robust, scalable, and reproducible production code.
- Push the envelope by developing novel techniques and research that delivers the world’s most harmless and helpful models. Your research will directly empower our customers to more feasibly deploy safe and responsible LLMs.
- Co-author papers, patents, and presentations with our research team by integrating other members’ work with your vertical.
Qualifications
- Deep domain knowledge in LLM safety techniques.
- Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures in the real world. Comfortability with leading end-to-end projects.
- Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research.
Skills
Required:LLM safety techniquesEnd-to-end LLM model design and deploymentSynthetic data generation
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Dynamo AI
Compliant-Ready AI for the Enterprise
End-to-end privacy, security, and compliance solutions to prepare your organization for emerging AI regulations.
machine-learningprivacydata-engineering
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