Netflix
Direct employer career site

Machine Learning Scientist 5 - Ads Demand Science

Pay
$466,000 – $750,000 per year
Location
Remote (US) · On-site
Job type
Full-time
Level
Director
Education
Master's degree
Listed
14 days ago

Skills & highlights for this role

  • Machine Learning
  • Python
  • SQL
  • Building and shipping production ML models or systems

Also useful

  • Operations Research
  • AI Engineering
  • Agentic Systems

What You'll Do

  • Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options.
  • Build and evolve the systems that evaluate and improve agent and model decision quality over time.
  • Partner with scientists and engineers across the media planning recommendation and agent workstreams to ship and iterate on new capabilities.
  • Dig into ambiguous problems, propose approaches, and drive them from idea to production.
  • Iterate on launched models and agents based on performance data and seller feedback.
  • Communicate clearly with both technical and non-technical stakeholders.

Nice to have

  • Experience with operations research.
  • Experience with AI engineering or agentic systems.

Who You Are

  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience building and shipping ML models or systems in production.
  • Curious and motivated to learn across ML domains, not attached to a single specialty.
  • Strong collaborator who's energized by building alongside others, not just independently.
  • Comfortable with ambiguity, able to take ownership with minimal oversight.
  • Proficient in Python and SQL.
  • Enthusiastic about and compatible with Netflix culture.

Pay and benefits

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.

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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

Job is open for no less than 7 days and will be removed when the position is filled.

About Netflix

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.

The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As a machine learning scientist in Media Planning, you'll work across the ML models and AI agents that turn advertiser briefs into optimized, ready-to-buy media plans. We're looking for a generalist who's curious, motivated to learn, and eager to build alongside the rest of the team, not someone who's already settled into one corner of ML.

Read the original posting

From Netflix's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Machine Learning Scientist 5 - Ads Demand Science role at Netflix?

The Machine Learning Scientist 5 - Ads Demand Science posting at Netflix states compensation of $466,000 – $750,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Netflix's official career site.

Where is the Machine Learning Scientist 5 - Ads Demand Science job at Netflix located?

Yes, this Machine Learning Scientist 5 - Ads Demand Science opening at Netflix is listed as Remote (US) (On-site). Always check Netflix's application page for specific state eligibility or relocation policies.

What qualifications are required for Machine Learning Scientist 5 - Ads Demand Science at Netflix?

For the Machine Learning Scientist 5 - Ads Demand Science role, Netflix highlights a master's degree; experience with Machine Learning, Python, SQL, Building and shipping production ML models or systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Machine Learning Scientist 5 - Ads Demand Science position at Netflix?

This listing links directly to Netflix's application page. You can apply directly on Netflix's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.