Engineering Manager, for Foundation Models Development

Netflix, Inc.; Los Gatos (CA); On-site; USD 190,000 - 920,000; Full time

Benefits offered by this job

Health plans and mental health support

401(k) retirement plan with employer match

Stock option program

Flexible time off

Paid leave of absence

Job summary

Netflix, Inc. is seeking a Research Engineering Manager to spearhead advancements in personalization using large language models. This role involves leading a team of skilled machine-learning experts, driving innovation from research through to production. The ideal candidate will possess extensive experience in machine learning, strong leadership skills, and a track record in consumer-facing products.

With a competitive salary range from $190,000 to $920,000, Netflix offers benefits such as health plans, a 401(k) retirement plan, and flexible paid time off.

Qualifications

• Experience leading a team of machine-learning engineers and researchers.
• Strong machine-learning and engineering background.
• Proven track record of applying machine-learning solutions in consumer products.

Responsibilities

• Lead a team to develop and deploy foundational LLM models.
• Build and guide a high-performing research team.
• Cultivate vision and strategy aligned with company objectives.

Skills

Team leadership

Machine learning

Data-driven decision making

Software engineering

Interpersonal skills

Education

MS or PhD in Computer Science, Statistics, or related field

Job description

Role Overview

Netflix is expanding personalization and discovery, and we’re looking for an exceptional research engineering manager to build the models and technology that power future experiences using large language models (LLMs) and other generative models.

In this role you will lead a group of talented machine‑learning researchers and engineers, build and guide a world‑class team, and cultivate a vision and strategy aligned with Netflix’s mission. You will drive innovation projects from research ideas through production A/B tests.

Responsibilities

• Lead a team of researchers and engineers to develop and deploy foundational LLM models for downstream applications such as Search, Recommendations, Personalization, and Messaging.
• Build and lead a high‑performing research team, fostering an inclusive culture and mentoring team members.
• Cultivate a vision and strategy for the team, align goals with company objectives, and manage end‑to‑end project execution.
• Partner with multi‑disciplinary cross‑functional teams and stakeholders to translate research insights into production‑ready solutions.

Qualifications

• Experience leading a team of machine‑learning engineers and researchers.
• Strong machine‑learning and engineering background, data‑driven decision making, and passion for personalization.
• Track record of successfully applying machine‑learning solutions in real‑world, consumer‑facing products.
• Broad knowledge of machine‑learning with a solid mathematical foundation.
• Strong understanding of software engineering and large‑scale distributed systems.
• Great interpersonal and communication skills; ability to give and receive feedback and champion new ideas.
• MS or PhD in Computer Science, Statistics, or a related field.

Preferred Experience

• 10+ years total experience, including 5+ years in machine‑learning management.
• Expertise in deep learning and natural language processing.
• Experience leading teams focused on applied machine‑learning and research engineering.
• Track record of building large‑scale, consumer‑facing machine‑learning applications.
• Active publishing and reviewing at peer‑reviewed conferences and journals.

Compensation

Annual salary only; no bonuses. Salary range for this role is $190,000 – $920,000, based on market indicators and individual experience.

Benefits

• Health plans and mental health support
• 401(k) retirement plan with employer match
• Stock option program
• Disability programs and health savings accounts
• Family‑forming benefits and life/serious injury coverage
• Paid leave of absence and flexible time off
• 35 days of paid time off for hourly employees; flexible time off for salaried employees

Equal Opportunity Employer

Netflix is an equal‑opportunity employer and celebrates diversity in all its forms. 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. Inclusion is a Netflix value and we strive to provide a meaningful interview experience for all candidates.