Netflix - Los Gatos, CA

posted 4 months ago

Full-time - Senior
Los Gatos, CA
Broadcasting and Content Providers

About the position

As Netflix continues to grow, we are venturing further into exciting new innovations in personalization and discovery, experimentation and decision-making, understanding our members and our titles, backend and infrastructure, and more, all driven by research at the frontiers of machine learning (ML) and its many intersections with adjacent fields. The Machine Learning and Inference Research team is a dedicated research team designed to build up Netflix's technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabilities to life. As a member of the Machine Learning and Inference Research team, you will have the opportunity to drive and execute bleeding-edge research while working in close partnership both with other researchers in the team and with partners in a wide range of teams across product, growth, and content. You will leverage your expertise in the frontiers of ML to influence the direction of company roadmaps and to work collaboratively cross-functionally to prototype, test, and implement your research to deliver improvements to the member experience and drive change across the company. Additionally, you will be actively engaged with the broader ML research community through conferences, publications, organizational activities, and academic collaborations. We are looking for an experienced researcher with broad expertise in machine learning who can establish and execute a strong research agenda, disseminate knowledge, get others behind their ideas, and foster an open environment of collaboration, innovation, and intellectual excitement.

Responsibilities

  • Drive and execute cutting-edge research in machine learning and inference.
  • Collaborate with cross-functional teams to prototype, test, and implement research findings.
  • Influence company roadmaps with expertise in machine learning.
  • Engage with the broader ML research community through conferences and publications.
  • Mentor and guide other researchers and stakeholders in the organization.

Requirements

  • Ph.D. in a relevant area with multiple years of post-Ph.D. experience in industry and/or academia.
  • Experience in applying research to solve real business problems in collaboration with engineering and business teams.
  • Ample research experience evidenced by publications in industry and/or academia.
  • A track record of leading ambitious research projects inspired by real-world challenges.
  • Excellent judgment in identifying and framing ambiguous research and business problems.

Nice-to-haves

  • Experience in mentoring others and fostering a collaborative environment.
  • Strong communication skills with technical and non-technical audiences.
  • Self-motivated with the ability to thrive with minimal oversight.

Benefits

  • 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
  • Flexible time off for salaried employees
  • 35 days of paid time off for hourly employees
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