Machine Learning Scientist 4 - Content & Conversation Modeling

Netflix, Inc.; 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

Stock Option Program

Paid time off

Job summary

Netflix, Inc. is seeking a Senior Machine Learning Scientist to innovate on predictive models and manage the entire ML lifecycle. This role will support content strategy and involve collaboration with analytics teams across the globe.

The ideal candidate will have a strong foundation in machine learning, excellent communication skills, and an advanced degree in a relevant technical field. The role offers a competitive salary and comprehensive benefits.

Qualifications

• Track record of delivering business solutions leveraging machine learning.
• Ability to communicate complex technical concepts to diverse audiences.
• Strong technical judgment in deploying models in production.

Responsibilities

• Innovate on predictive models to inform content strategy.
• Manage the end-to-end ML model development lifecycle.
• Collaborate with cross-functional teams on model deployment.

Skills

Machine learning solutions

Python

Predictive modeling

Communication

Collaborative coding practices

Education

MS or PhD in Computer Science, Economics, Physics, Statistics, Mathematics

Tools

scikit-learn

Keras

PyTorch

TensorFlow

MetaFlow

JAX

Job description

At Netflix, our mission is to entertain the world. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting‑edge technology.

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

Responsibilities

• 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 engineering, ML Ops, and ML Platform teams.

Qualifications

• 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.
• Passion for scaling your ML solutions in collaboration with your team; 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 a 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.
• Appreciation of the creative and entertainment industry is definitely a plus.

Compensation & Benefits

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.

The range for this role is $300,000.00 – $537,000.00.

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family‑forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full‑time hourly employees accrue 35 days annually for paid time off (vacation, holidays, sick).
  Full‑time salaried employees are immediately entitled to flexible time off.

Equal Opportunity Statement

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.