Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Netflix

Machine Learning Scientist 5 – Ads Demand Science

Netflix

. Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $466,000 - $750,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying production ML models and conversational AI agents, with a strong focus on collaboration and iterative improvement based on performance data. Proficient in Python and SQL, with an advanced degree in a quantitative field.

Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencySQL ProficiencyCollaborative Problem SolvingAdvanced Degree in Computer Science or Related Field

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningConversational AIModel EvaluationData AnalysisStatistical Modeling
Soft Skills
CollaborationCuriosityOwnershipCommunicationAdaptability
Industry Keywords
Media PlanningProduction SystemsPerformance DataQuantitative AnalysisAmbiguity Management

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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 systems that evaluate and improve agent and model decision quality over time
  • Partner with scientists and engineers across media planning recommendation and agent workstreams to ship and iterate on new capabilities
  • Investigate 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 technical and non-technical stakeholders

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • 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