Machine Learning Engineer - Content Understanding

About Netflix

At Netflix, our mission is to entertain the world. We are pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition, and cutting-edge technology. Come be a part of what's next.

Content Understanding Team

The goal of our Content Understanding team is to enable operational and creative excellence in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content and helping members discover content they will love. We conduct analyses, build analytical tools, and develop models to help our partners execute these primary objectives.

The Opportunity

We are looking for a talented Machine Learning Engineer - Content Understanding to join our Merchandising & Content Understanding pod. This role focuses on deepening our content metadata across all formats and improving the discovery experience on our service. You will design and develop models and infrastructure for algorithms that will power the next generation of capabilities for our business. You will partner with our world-class team of creative production practitioners and various cross-functional teams to shape strategy and deliver impact via machine learning and artificial intelligence solutions. Interested? Read more about the job description and qualifications below!

What You Will Do

• Collaborate closely with stakeholders in Product Discovery & Promotion to deeply understand content metadata and merchandising, identifying impactful problems solvable via scalable machine learning and artificial intelligence solutions.
• Develop innovative systems and models that empower stakeholder decision-making and product features, delivering member joy by leveraging a wide variety of metadata and production media throughout their end-to-end lifecycle.
• Collaborate with team members and cross-functional partners to operationalize your models, ensuring seamless integration into operational workflows.
• Serve as a key thought partner for stakeholders, cross-functional partners, and diverse team members regarding machine learning algorithms and system architectures.

Your Background And Characteristics

• Ph.D. or MS degree in a quantitative or computational field.
• 4+ years of full-time work experience in one or more relevant machine learning roles.
• Practical experience in supervised, unsupervised, and deep machine learning methods.
• Practical experience applying machine learning and Generative AI solutions to video, audio, and/or textual data sources.
• Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions.
• Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process.
• Exceptional written and oral communication with technical and non-technical audiences.

Compensation & Benefits

Our compensation structure consists solely of an annual salary, without bonuses. You choose each year how much of your compensation you want in salary versus stock options. 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 $419,400.00 - $675,000.00, varying based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off; full-time salaried employees are immediately entitled to flexible time off. Learn more about our Benefits here.

Inclusion & Diversity

Netflix fosters a unique culture and environment. Learn more here. Inclusion is a Netflix value, and we strive for a meaningful interview experience for all candidates. If you require 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 diversity builds 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.

Key skills/competency

• Machine Learning
• Artificial Intelligence
• Deep Learning
• Generative AI
• Content Metadata
• Data Modeling
• Algorithm Development
• System Architecture
• Product Discovery
• Cross-functional Collaboration