Machine Learning Manager – Localization Algorithms

🕒 6 days ago

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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.

🎯 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; 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). • 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 • Full-time hourly employees accrue 35 days annually for paid time off