Machine Learning Scientist 4 - Studio Media Algorithms jobs in United States
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Netflix · 12 hours ago

Machine Learning Scientist 4 - Studio Media Algorithms

Netflix is one of the world's leading entertainment services, and they are seeking a Research Scientist to enhance and support the vision of content creators through the development of algorithms and models. The role involves researching and prototyping algorithms for machine learning in the multimedia domain, mentoring junior scientists, and collaborating with cross-functional teams.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Research and prototype reusable algorithms 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
Design, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as needed
Mentor and define impactful research directions for junior scientists
Collaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directions
Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve

Qualification

Generative computer visionDeep learning frameworksModel developmentPython programmingDistributed trainingInterpersonal skillsJava programmingC++ programming3D vision expertiseComputer graphics tools

Required

5+ years research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, or CG venues
Deep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models
Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation
Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literature
Extensive experience with DL frameworks such as Tensorflow or PyTorch
Strong programming skills in languages such as Python, Java, or C++
Great interpersonal skills for collaboration with and leading technical and non-technical partners
Advanced degree in Computer Science or related field

Preferred

Cutting-edge work on modern generative methods and their building blocks
Expertise in 3D vision and/or graphics
Industry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areas
Experience with tools for generative models, such as ComfyUI
Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nuke

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)

Funding

Current Stage
Public Company
Total Funding
$63.91B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

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Gregory Peters
Co-CEO
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Ted Sarandos
Co-CEO
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Company data provided by crunchbase