Machine Learning Scientist 5 - Ad Ranking

Netflix - New York, NY

Hiring: Machine Learning Scientist 5 - Ad Ranking Company: Netflix Location: New York, NY Job Posted Time: 2026-09-10 11:21:11 Employment Type: Full-time Target Skills & Keywords : Java, Machine Learning, Python, Scala About the job Required Skills: •Design and implement machine learning and optimization algorithms to improve ad quality and performance. •Build, train, and evaluate models on large-scale production data. •Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements. •Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals. •Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions. Qualifications: •Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field. •Proficiency in Python, Scala or Java. •Deep knowledge of machine learning, optimization, and data analysis techniques. •Strong business acumen and ability to translate technical results into business impact. •Excellent communication and collaboration skills. •Netflix is a unique culture and environment. Learn more here. •Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. •Job is open for no less than 7 days and will be removed when the position is filled. Compensation: •$466,000 - $750,000 / year •Competitive benefits and rewards package •Generally, our compensation structure consists solely of an annual salary; we do not have bonuses Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!