Netflix

Machine Learning Scientist 5 - Ads Demand Science

Netflix • $466K — $500K+*
US-AnywhereRemote in United States
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 energized by building alongside others.
  • Comfortable with ambiguity and able to take ownership with minimal oversight.
  • Proficient in Python and SQL.
  • Enthusiastic about and compatible with Netflix culture.

Responsibilities

  • Design and ship production ML models and conversational AI agents for media planning.
  • Build and evolve systems to evaluate and improve decision quality of models and agents.
  • Collaborate with scientists and engineers to ship and iterate on new capabilities.
  • Tackle ambiguous problems, propose solutions, and drive them to production.
  • Iterate on launched models and agents based on performance data and feedback.
  • Communicate effectively with both technical and non-technical stakeholders.

Benefits

  • Comprehensive Health Plans and Mental Health support.
  • 401(k) Retirement Plan with employer match.
  • Stock Option Program and Disability Programs.
  • Health Savings and Flexible Spending Accounts.
  • Family-forming benefits and Life/Serious Injury Benefits.
  • Paid leave of absence programs and flexible time off for salaried employees.
  • 35 days annually for paid time off for full-time hourly employees.
Full Job Description
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. 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. 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.

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

Similar Jobs

More Jobs at Netflix

More Media Jobs

Find similar Machine Learning Scientist 5 - Ads Demand Science jobs: