ML Engineer — LLM Privacy
San Francisco, CAFull-timePosted 11mo ago
About the role
ML Engineer focused on privacy in LLMs at Dynamo AI, a fast-growing enterprise AI platform. Role involves owning an ML privacy vertical, collaborating with engineering, and generating synthetic data to train and evaluate LLMs. Full-time in San Francisco, CA.
Responsibilities
- Own an ML privacy vertical e.g. data leakage attacks, sensitive PII detection, and/or membership inference attacks.
- Collaborate with our engineering team to deliver real-world applications of your algorithms for our customers.
- Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking.
Qualifications
- Deep domain knowledge in privacy-preserving ML.
- Practical experience in techniques to attack or defend ML models in terms of privacy.
- Extensive experience in 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.
- Preferred: previous projects or research in LLM privacy.
Skills
Required:privacy-preserving MLprivacy attacks/defenses for MLLLM model implementationsadaptability to new research
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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