Machine Learning Scientist 4 - Content & Conversation Modeling

Netflix; Seattle (WA); On-site; USD 300,000 - 537,000; Full time

Benefits offered by this job

Health Plans

Mental Health support

401(k) Retirement Plan with employer match

Flexible time off

Paid leave of absence programs

Job summary

Netflix is looking for a Senior Machine Learning Scientist to develop and deploy machine learning solutions that guide content decisions. This role involves innovating predictive models and collaborating with teams across Netflix.

The ideal candidate has a strong background in machine learning, excellent communication skills, and an advanced degree in a related technical field. The compensation structure ranges from $300,000.00 to $537,000.00 with comprehensive benefits including health plans and flexible time off.

Qualifications

• Experience navigating ambiguous problem spaces with machine learning solutions.
• Strong communication skills for explaining complex concepts.
• Deep familiarity with the ML lifecycle and production deployments.
• Ability to scale ML solutions collaboratively.
• Experience in machine learning roles.
• Appreciation of the creative and entertainment industry is a plus.

Responsibilities

• Innovate predictive models for content strategy decisions.
• Partner with content strategy teams for content valuation and scheduling.
• Own the end-to-end ML model development lifecycle.
• Influence data and ML infrastructure development.
• Align with Netflix values and improve culture.

Skills

Machine Learning

Python

Model Development

Data Communication

Predictive Modeling

Scikit-learn

Keras

TensorFlow

Education

MS or PhD in Computer Science or related field

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - 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.

The Content & Conversation Modeling team delivers high‑leverage ML solutions using Netflix’s unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.

In this role, you will:

• Innovate on a suite of predictive models to help inform our content strategy.
• Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
• Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
• Own the end‑to‑end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
• Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
• Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:

• An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track‑record of delivering business solutions leveraging machine learning.
• Exceptional communication skills. Able to explain complex technical concepts clearly to cross‑functional partners with differing technical backgrounds.
• Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
• A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.
• Strong experience in Python and an ML/DL framework (e.g., scikit‑learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX).
• An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
• Relevant experience in one or more machine learning roles.
• An appreciation of the creative and entertainment industry is definitely a plus.

Generally, 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 $300,000.00–$537,000.00.

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.

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.