Machine Learning Manager - Localization Algorithms

Netflix Netflix · Big Tech · United States +2 · Remote · Data & Insights

Lead a team of Research Scientists and Machine Learning Engineers focused on multimodal LLM and audio algorithms for localization at Netflix. The role involves mentoring, strategic planning, and driving the development and productionization of cutting-edge ML systems to enhance global member experience.

What you'd actually do

  1. Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix’s ambitious localization goals.
  2. Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.
  3. Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
  4. Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.
  5. Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.

Skills

Required

  • Leadership of ML research and engineering teams
  • Multimodal LLM expertise
  • Speech recognition and understanding
  • Generative speech
  • Production ML services
  • Mentoring and talent development
  • Recruiting researchers and engineers
  • Communication skills

Nice to have

  • 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

What the JD emphasized

  • 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; have led teams to launch and continuously improve production ML services.

Other signals

  • leading a team of research scientists and ML engineers
  • developing cutting-edge algorithms and systems
  • multimodal LLM and audio algorithms
  • localization experiences