Machine Learning Scientist 5 - Ads Bidding
Netflix - USA - Remote | Los Angeles,California,United States of America | Los Gatos,California,United States of America
Posted May 20, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Scientist 5 - Ads Bidding USA - Remote | Los Angeles,California,United States of America | Los Gatos,California,United States of America 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. 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
Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Systems Engineer - (Execution) - Level 3/4
Northrop Grumman - United States-Alabama-Huntsville
-
Business Analyst (Top Secret cleared)
ICF International INC - Washington, DC
-
Engineering Project Specialist II (Full Time) - United State
Cisco - San Jose, California, US
-
Automation AI Ops Engineer
Cisco - 2 Locations