Senior Machine Learning Researcher / Principal Scientist - Remote

Overview

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI's data problem is a generational opportunity. The company that succeeds will be one of the largest in AI — and in tech.

In Short

• Design and apply statistical and machine learning methods to curate, filter, and enrich large-scale unstructured datasets
• Develop frameworks to assess data diversity, duplication, and informativeness
• Collaborate with model training teams to identify data bottlenecks
• Provide leadership on data quality strategy
• Evaluate external datasets for integration
• Contribute to research and development of tools for data preprocessing

Requirements

• PhD or equivalent Master's Degree + 4+ years industry experience in machine learning or related field
• Strong understanding of AI model training pipelines
• Experience working with large, unstructured datasets
• Background in statistical analysis and data validation
• Able to identify high-impact problems and drive independent solutions

Benefits

• Opportunity to work at the forefront of AI technology
• Collaborative and innovative work environment
• Contribute to meaningful projects in AI