Machine Learning Manager – Localization Algorithms

Posted 85ds ago

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Job Description

Machine Learning Manager leading a team of research scientists and engineers in multimodal LLM and audio algorithms at Netflix. Achieving localization goals and mentoring talent.

Responsibilities:

  • Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix’s ambitious localization goals.
  • Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers.
  • Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
  • Set and operationalize a high bar for execution speed and quality.
  • Build strong relationships with cross-functional partners to shape long-term collaborations and shared visions.
  • Act as a functional leader and domain expert.

Requirements:

  • Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.
  • Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments.
  • Passionate about leading teams through ambiguous and complex technical and business challenges.
  • Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.
  • Master’s or PhD in Machine Learning, Computer Science, or a closely related field.
  • 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
  • 2+ years of experience leading ML teams.
  • Exceptional verbal and written communication skills.
  • Deeply committed to delivering end-to-end business impact.

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
  • 35 days annually for paid time off