Machine Learning Manager - Localization Algorithms

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms . You will support a highly talented team in developing cutting-edge algorithms and systems, and collaborate closely with cross-functional partners to enhance localization experiences for Netflix members around the world.

- 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, amplifying their impact and fostering their career growth.

- Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.

- Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.

- Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.

- Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.

- Act as a functional leader and domain expert, representing the team's work and strengthening the team's internal and external brand.

- Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

- 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.

- Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.

- 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).

- Deeply committed to delivering end-to-end business impact.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.

The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.

Job is open for no less than 7 days and will be removed when the position is filled.