Remote ML Research Scientist - Differential Privacy

Description:

• The position is for an ML Research Scientist specializing in Differential Privacy, working remotely for a software company that deploys large language models (LLMs) for enterprises.
• The company has recently raised $15.1 million in a Series A funding round, bringing the total raised to $19.3 million.
• Responsibilities include leading and managing an ML privacy vertical focused on specific domains and optimization strategies such as differential privacy and privacy-enhancing algorithms.
• The role requires close collaboration with the engineering team to implement practical applications of developed algorithms tailored to client needs.
• The candidate will contribute to the creation of research papers, patents, and presentations by integrating their work with contributions from other team members.

Requirements:

• Candidates must have profound expertise in privacy-preserving ML methodologies.
• Hands-on experience in training Differentially Private models using frameworks like Opacus and OpenDP is required.
• Extensive practical knowledge in deploying various Large Language Model (LLM) models and architectures in real-world scenarios is essential, along with proficiency in leading end-to-end projects.
• While extensive experience in federated learning (FL) is not mandatory, it is preferred.
• Domain expertise in understanding attacks against ML models, particularly in Computer Vision (CV) or Large Language Models (LLMs), is desirable.
• Adaptability and flexibility are crucial, as the role may require swift learning and implementation of new findings in the field.

Benefits:

• The position offers the opportunity to work in a cutting-edge field focused on privacy and machine learning.
• Employees will be part of a dynamic team that is at the forefront of research and development in ML privacy.
• The role provides a chance to contribute to significant research outputs, including papers and patents.
• Working remotely allows for flexibility in work arrangements.
• The company is backed by reputable investment firms, indicating strong financial support and growth potential.