H1BConnect Pro: Unlock advanced filters, H1B sponsorship insights, and unlimited job access.Subscribe now
Netflix logo

Machine Learning Scientist (L4) - Content & Conversation Modeling

Netflix
Seattle, WA Full-time 2/5/2026 $300k - $537k per year
PhD Entry-Level
Approval 98.4%Total filings 128New hires 57
💎 Strong Sponsor
FY 2025

Job Description

Netflix is seeking a senior machine learning scientist to develop and deploy scalable ML solutions that inform content strategy and performance. The role involves collaborating with content strategy and analytics teams to enhance decision-making through innovative predictive models.

Requirements

  • An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
  • Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
  • Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
  • A passion for scaling your ML solutions in collaboration with your team.
  • Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX).
  • An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
  • Relevant experience in one or more machine learning roles.
  • An appreciation of the creative and entertainment industry is definitely a plus.

Responsibilities

  • Innovate on a suite of predictive models to help inform our content strategy.
  • Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
  • Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
  • Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
  • Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
  • Live Netflix values while bringing a new perspective to continue improving our culture.

Benefits

  • Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.

Is this job posting expired or no longer available?