Netflix
Direct employer career site

Machine Learning Engineer (L4/L5) - Studio Media Algorithms

Pay
$466,000 – $750,000 per year
Location
Los Angeles, CA · On-site
Job type
Full-time
Level
Lead / Staff
Listed
12 days ago

Skills & highlights for this role

  • Machine Learning
  • Computer Vision
  • Object-Oriented Programming
  • Python
  • Java
  • C++
  • Large-Scale Distributed Data Processing
  • Cloud Infrastructure
  • Deploying ML Tools to Production

Also useful

  • Computer Graphics
  • VFX
  • Content Creation Tools
  • Nuke
  • Houdini
  • Maya
  • Avid
  • Unreal Engine

In this role, you will

  • Design and deploy reusable algorithms and frameworks for ML models in production.
  • Iterate across the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.
  • Collaborate cross-functionally with research scientists, product managers, creators, and business partners to help define and prioritize system requirements.
  • Work closely with ML/CV/Graphics researchers, Infrastructure, and Studio teams to productize algorithms and models.
  • Participate in algorithm development and propose scalable designs.
  • Promote and facilitate software engineering best practices in the team.

About you

  • Strong track record of deploying artist-facing ML tools
  • Experience with computer graphics / VFX / content creation / game platforms such as Nuke, Houdini, Maya, Avid, Unreal Engine, or Unity
  • Excellent ML / CV fundamentals and experience with ML, CV, and/or graphics pipelines
  • Passion for turning ideas into products and improving the user experience

Skills in OO programming (Python, Java, or C++)

  • Experience with large-scale distributed data processing systems and cloud infrastructure
  • Comfort with the ambiguity of an emerging field
  • Excellent communication and people engagement skills

Bonus experience

  • Experience with models and tools for generative models, such as Diffusion models and ComfyUI
  • Building end-to-end multimedia systems and algorithms
  • Deep learning frameworks such as PyTorch and Tensorflow

Pay and 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 to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.

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. See more details about our Benefits here.

Netflix is a unique culture and environment.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want 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.

About Netflix

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 Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do:

Creating Media with Machine Learning and

Computer Vision Research at Netflix.

We are looking for a Machine Learning Engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to research, develop, and deploy scalable models and systems to analyze, create, and transform media assets.

Read the original posting

From Netflix's careers page, first listed on Rolev.ai on October 28, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Machine Learning Engineer (L4/L5) - Studio Media Algorithms role at Netflix?

The Machine Learning Engineer (L4/L5) - Studio Media Algorithms posting at Netflix states compensation of $466,000 – $750,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Netflix's official career site.

Where is the Machine Learning Engineer (L4/L5) - Studio Media Algorithms job at Netflix located?

This Machine Learning Engineer (L4/L5) - Studio Media Algorithms position at Netflix is located in Los Angeles, CA (On-site). Always check Netflix's application page for specific state eligibility or relocation policies.

What qualifications are required for Machine Learning Engineer (L4/L5) - Studio Media Algorithms at Netflix?

For the Machine Learning Engineer (L4/L5) - Studio Media Algorithms role, Netflix highlights experience with Machine Learning, Computer Vision, Object-Oriented Programming, Python, Java, C++. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Machine Learning Engineer (L4/L5) - Studio Media Algorithms position at Netflix?

This listing links directly to Netflix's application page. You can apply directly on Netflix's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.