Machine Learning Scientist 5 - Ads

Netflix • Los Gatos, CA

5d

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team:
The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience.

Requirements

• 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.
• Experience with prototyping and deploying algorithms using large-scale production data.
• Strong business acumen and ability to translate technical results into business impact.
• Experience in building bidding algorithms.
• Excellent communication and collaboration skills.

Responsibilities

• Design and implement machine learning–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS,.
• Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.
• Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes.
• Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals.
• Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals.
• Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions.

Benefits

• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• We also offer paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees