Remote Senior Machine Learning Researcher / Principal Scientist

Description:

• The company is building Protege to address the significant unmet need in AI for access to the right training data.
• The Protege platform aims to facilitate the secure, efficient, and privacy-centric exchange of AI training data.
• The role is for a Senior Member of the Core Data Team/Principal Scientist to lead the evaluation and optimization of large-scale datasets for training state-of-the-art AI models.
• The candidate will define what "high-quality data" means in practice, using statistical, computational, and ML-driven methods to ensure data is diverse, representative, and impactful.
• The position involves collaboration with research and engineering teams to enhance model performance through improved data quality.
• Key responsibilities include designing statistical and machine learning methods for curating large-scale unstructured datasets, developing frameworks to assess data quality, and providing leadership on data quality strategy.

Requirements:

• A PhD or equivalent Master's Degree with 4+ years of industry experience in machine learning, economics, mathematics, engineering, computer science, statistics, or a related quantitative field is required.
• A strong understanding of AI model training pipelines, including pre-processing and evaluation, is essential.
• Experience working with large, unstructured datasets, particularly text, is necessary.
• A background in statistical analysis, bias detection, and data validation is required.
• The candidate must be able to identify high-impact problems and drive independent solutions.

Benefits:

• The position offers the opportunity to work at the forefront of AI data solutions, contributing to a generational opportunity in the tech industry.
• The role provides a chance to shape the future of AI training data and influence the quality of AI models.
• Employees will be part of a collaborative environment, working closely with research and engineering teams.
• The company promotes a culture of innovation and values contributions to research and development in the field of AI.