Netflix

Machine Learning Scientist 5 - Ads Bidding

Netflix$466K — $500K+*
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

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.
  • 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 for ad performance optimization.
  • Build, train, and evaluate large-scale bidding algorithms ensuring robustness to marketplace changes.
  • Develop frameworks to measure the impact of bidding algorithms and policy changes.
  • Inform auction and pricing mechanism design for alignment with business objectives.
  • Collaborate with product team to set bidding objectives and trade-offs.
  • Communicate technical decisions and experiment results to diverse stakeholders.

Benefits

  • Comprehensive health plans including mental health support.
  • 401(k) retirement plan with employer match.
  • Stock option program.
  • Disability programs and health savings accounts.
  • Family-forming benefits.
  • Flexible paid leave of absence programs.
  • 35 days of paid time off for full-time hourly employees.
Full Job Description
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 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.


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.
  • 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.


Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

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. See more details about our Benefits here.

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.

About Netflix

Netflix, Inc. is an American media company founded on August 29, 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California, and currently based in Los Gatos, California, with production offices and stages at the Los Angeles-based Hollywood studios (formerly old Warner Brothers studios) and the Albuquerque Studios (formerly ABQ studios). It operates an eponymous over-the-top subscription video on-demand service, which showcases acquired and original programming as well as third-party content licensed from other production companies and distributors. Netflix is also the first streaming media company to be a member of the Motion Picture Association.
Learn more about Netflix
Size
11,300 employees
Market Cap
$127.6 billion
Industry
Net Income
$2.7 billion
Founded
1997
5 Year Trend
+27.5%
Revenue
$24.9 billion
NASDAQ

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