ML Research Scientist - Differential Privacy

September 16

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Gitty Inc.

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Git • Talent Search • Talent Hacking • Recruiting Software • User Experience

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Description

• Lead and manage an ML privacy vertical focused on specific domains and optimization strategies (e.g., differential privacy, privacy-enhancing algorithms, anonymization). • Collaborate closely with the engineering team to implement practical applications of your developed algorithms, catering to our clients' needs. • Contribute significantly to the creation of research papers, patents, and presentations by integrating your vertical's work with other team members' research contributions.

Requirements

• Profound expertise in privacy-preserving ML methodologies. • Hands-on experience in training Differentially Private models utilizing frameworks such as Opacus, OpenDP, etc. • Extensive practical knowledge in deploying various Large Language Model (LLM) models and architectures in real-world scenarios. Proficiency in leading end-to-end projects is expected. • Desirable: Domain expertise in understanding attacks against ML models, especially in Computer Vision (CV) or Large Language Models (LLMs). • Adaptability and flexibility are crucial.