Senior Engineering Manager, Model Inference & Serving, Machine Learning Platform

Netflix is one of the world's leading entertainment services with over 300 million paid memberships in over 190 countries enjoying TV series films and games across a wide variety of genres and languages. Members can play pause and resume watching as much as they want anytime anywhere and can change their plans at any time.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business from helping members choose the right title for them through personalization to enhancing our understanding of our audience and content slate to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

More recently rapid innovation in large language models (LLMs) has significantly advanced state-of-the-art technology in various areas of personalization including search and recommendation experiences.

The Opportunity

We are seeking a Senior Engineering Manager to lead the Model Inference & Serving pillar within the ML Platform organization. This is a pivotal high-impact “leader of leaders” role responsible for setting the strategic vision and execution across multiple teams that deliver the core model serving infrastructure for all of Netflix. Your leadership will shape the future of ML model delivery experimentation and operational excellence at a global scale.

You will:

• Set the vision and strategy for all aspects of model inference and serving at Netflix ensuring our platform supports the next generation of ML innovation including LLMs GenAI and real-time personalization.

• Lead and develop a cohort of engineering managers and technical leads responsible for core functions including model routing inference systems experimentation serving frameworks and the performance and scalability of model serving at Netflix.

• Drive cross-team and cross-functional alignment collaborating with ML researchers product engineering infrastructure and platform partners to maximize business and member impact.

• Champion operational excellence and continuous improvement ensuring reliability scalability and cost-effectiveness across all model serving systems.

Key Responsibilities

Vision & Strategy

• Define and communicate the pillar’s multi-year vision technical strategy and roadmap.

• Anticipate future platform and business needs especially as ML architectures and use cases evolve.

• Drive the transition from legacy domain-based serving to a unified modular and domain-agnostic serving platform.

Leadership & People Development

• Manage and mentor engineering managers and technical leads; build a strong leadership bench.

• Foster a culture of high performance candor innovation and inclusion aligned with Netflix’s values.

• Attract hire and retain outstanding talent across the pillar.

Technical Direction & Operational Excellence

• Set and uphold technical standards for reliability scalability and performance across all teams.

• Oversee development of foundational serving infrastructure: real-time/batch inference frameworks experimentation control plane and tooling.

• Ensure robust support for diverse model types (deep learning LLMs bandits etc.) hardware targets (CPU/GPU) and SLAs.

• Own operational health and reliability at scale including observability SLOs and incident response.

Cross-Functional & Stakeholder Engagement

• Build and maintain strong partnerships with ML practitioners product engineering infrastructure and platform teams.

• Represent the Model Serving pillar to Netflix senior leadership clearly communicating the vision progress and priorities.

• Influence and drive alignment on platform direction investment and priorities.

What You Need to Succeed

• Proven success managing multiple managers in high-scale ML infrastructure/platform environments.

• 10+ years of technical experience with 5+ years in engineering management roles.

• Deep expertise in ML model serving distributed systems and high-scale production environments.

• Strategic thinking with a track record of delivering complex cross-team initiatives.

• Excellent communication and stakeholder management skills.

• Experience driving organizational change and leading through ambiguity.

• Experience with modern ML frameworks (e.g. PyTorch TensorFlow) inference engines (e.g. Triton vLLM) and experimentation platforms is a strong plus.

• MS/PhD in Computer Science Engineering or related field or equivalent experience preferred.

Netflix Culture

Netflix’s culture is built on values of high performance candor context over control and inclusion. We celebrate diversity and are committed to building teams with a wide range of backgrounds perspectives and skills.

We offer a flexible market-driven compensation structure–choose your mix of salary and stock options with a typical range for this role of 190000 to 1195000. Learn more about our benefits and unique culture .

Ready to shape the future of ML/AI at Netflix? Apply now and help us deliver world-class ML experiences to millions of members worldwide.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race religion color ancestry national origin caste sex sexual orientation gender gender identity or expression age disability medical condition pregnancy genetic makeup marital status or military service.

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