Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.
Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.
Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.
Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines.
Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap.
Requirements
At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.
Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.
Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.
Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.
Additional Instructions
Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.
Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.
Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.
Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines.
Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap.
Perks and Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
