Machine Learning Engineer

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

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  software engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to design and develop scalable systems and infrastructure for that effort. These systems will be used by our researchers to develop CV, graphics, audio, and natural language processing (NLP) algorithms to analyze, create, and transform media assets. 

In this role, you will:

• Design and develop systems and reusable algorithms and frameworks for 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, as well as creative and business partners and stakeholders, to help define and prioritize system requirements.

• Work closely with ML/CV/Graphics researchers and Studio teams to productize algorithms and models, and efficiently run human-in-the-loop inference tasks.

• Participate in algorithm development and propose scalable designs.

• Promote and facilitate software engineering best practices in the team.

About you:

• Industry experience with machine learning engineering in a production setting

• Passion for turning ideas into products and improving the user experience

• Experience with research and comfort with the ambiguity of an emerging field

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

• Experience with ML, CV, and/or graphics pipelines

• Excellent communication and people engagement skills

• Experience with large-scale distributed data processing systems and cloud infrastructure

• Industry experience in the content creation domain, such as animation, games, or visual effects

• Experience with models and tools for generative models, such as Diffusion models and ComfyUI

Bonus experience:

• Building end-to-end multimedia systems and algorithms

• Deep learning frameworks such as PyTorch and Tensorflow

• Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nuke

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 $150,000 - $750,000.

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. 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.

Job is open for no less than 7 days and will be removed when the position is filled.