Senior Machine Learning Engineer, Ads

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) Solid understanding of software development best practices Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) Deep understanding of core ML concepts and algorithms Proven ability to work effectively with cross-functional teams to translate business needs into technical solutions Track record of using machine learning to drive key performance indicator (KPI) wins

Design, build, and deploy industrial-level machine learning models 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 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 Research new algorithms and stay up-to-date with state-of-the-art ML techniques