Job Duties: Collaborate with machine learning engineers to identify pain points and challenges in the development and deployment of machine learning models. Research and implement innovative solutions to optimize the efficiency, scalability, and reliability of the machine learning platform. Analyze and evaluate the performance of existing machine learning models, identifying areas for improvement and optimization. Collaborate with cross-functional teams to gather requirements, align on project goals, and drive the implementation of new features and enhancements to the machine learning platform. Leverage our extensive and valuable metadata set to generate innovative suggestions and strategies, identifying efficient shortcuts to evaluate hypotheses and assess the potential of ideas. Telecommuting is permitted.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Data Science, Statistics, or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Machine Learning Algorithms; (2) Idiomatic Python; (3) SQL at Petabyte Scale; (4) Data Visualization; (5) Data Pipelines; (6) Ranking Models; (7) TensorFlow; (8) Feature Engineering; (9) Experimentation; and (10) Statistics. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted.

Salary: $170,000.00 - $209,296.00 per annum.

Reference #: 24-145758

This position is not available for relocation assistance.