August 27
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
β’ Own an ML privacy vertical e.g. data leakage attacks, sensitive PII detection, and/or membership inference attacks. β’ Collaborate with our engineering team to deliver real-world applications of your algorithms for our customers. β’ Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking.
β’ Deep domain knowledge in privacy-preserving ML. β’ Practical experience in techniques to attack or defend ML models in terms of privacy. β’ Extensive experience in implementing multiple different types of LLM models and architectures in the real world. Comfortability with leading end-to-end projects. β’ 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. β’ Preferred: previous projects or research in LLM privacy.
Apply NowAugust 27
51 - 200
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π΅ $160k - $190k / year
π° Venture Round on 2021-12
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
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πΊπΈ United States β Remote
π΅ $185k / year
π° $150M Series D on 2021-07
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
π½ H1B Visa Sponsor
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πΊπΈ United States β Remote
π΅ $175k - $325k / year
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer