ML Scientist, Content Intelligence & Analytics

Netflix, Inc.; Los Angeles (CA); On-site; USD 170,000 - 720,000; Full time

Benefits offered by this job

Health plans

Mental health support

401(k) with match

Stock options

Disability programs

Health Savings Account

Flexible Spending Accounts

Family-forming benefits

Paid time off

Flexible time off

Job summary

Netflix, Inc. is seeking a Machine Learning Scientist to develop foundational tools for member analytics and content understanding.

You will design models for visual, audio, and text data, and support ETLs and downstream tooling that influence content planning and promotion decisions. You will work with product managers, engineers, data scientists, and content teams to define problems, roadmaps, and priorities, while staying active in the ML community and learning from latest research to drive

Qualifications

• MS or PhD in a technical field with ML/AI focus.
• Strong foundation in ML and DL including embedding methods.
• Proficiency in Python or R and ML frameworks.
• Experience with SQL and building end-to-end data pipelines.
• Excellent communicator with ability to explain complex concepts.

Responsibilities

• Design and implement state-of-the-art ML models for visual, audio, and textual data.
• Collaborate with cross-functional teams to define problems and roadmaps.
• Communicate results to both technical and non-technical stakeholders.
• Engage with ML community to learn, teach, and contribute to Netflix ML branding.
• Stay updated with latest ML developments and apply to content workflows.

Skills

Machine learning

Deep learning

Embedding methods

Algorithm development

Communication

Autonomy

Education

MS or Ph.D. in CS/CE/ cognitive science / E.E.

Tools

Python

R

ML frameworks

SQL

Data pipelines

Job description

We are seeking a Machine Learning Scientist to join the team. Your focus will be on developing foundational tools to support member analytics and understanding, including building models, exploring and charting their analytic implications, and developing and supporting high-impact ETLs and downstream tooling. This role features ample opportunity for project ownership and will support impactful decision-making. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities.

In this role, you will:

• Design and implement state-of-the‑art machine learning models for visual, audio, and textual data to enhance content understanding and improve content planning, content production, and promotion processes.
• Collaborate with cross‑functional teams, including product managers, engineers, data scientists, consumer researchers, and content teams, to define problem statements, define roadmaps, and execute on priorities.
• Communicate complex concepts and the results of analyses with both technical and non‑technical stakeholders to influence strategic decisions.
• Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.
• Stay abreast of the latest developments in the field by attending conferences, reading research papers, and implementing promising novel ideas that can impact content workflows.

About you

• You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.
• Advanced degree (MS or Ph.D.) in Computer Science, Cognitive Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision.
• Strong programming skills in R/Python and experience with appropriate ML, AI, Mathematical Psychology, or Deep Learning modeling frameworks.
• Experience with SQL, or with building end‑to‑end data pipelines.
• You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and adapt existing methods from the literature to new challenges.
• You are an excellent communicator, capable of explaining complex technical details to both technical and non‑technical audiences.
• You are a self‑starter who thrives under a high level of autonomy in a fast‑paced environment and is enthusiastic about Netflix’s unique culture.

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 $170,000 - $720,000.

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 to be used for vacation, holidays, and sick paid time off. Full‑time salaried employees are immediately entitled to flexible time off.