Machine Learning Scientist – Studio Media Algorithms
Listed on 2026-02-18
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Overview
At Netflix, our mission is to entertain the world. We are looking for a Research Scientist with demonstrated experience in computer vision (CV) and/or related areas such as natural language processing (NLP) or computer graphics (CG) to research and develop core algorithms and models that will be incorporated into the tools used by content creators through the production lifecycle, including live action, animation, and games.
The Studio Media Algorithms team is focused on increasing member value and driving efficiency in the content creation process to create more joy for viewers worldwide.
- Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in the VFX, animation, and games space, pushing forward the state of the art in CV as needed
- Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes, usable by other scientists and engineers across teams
- Work cross-functionally with engineers, scientists, artists, and product leaders to identify and prioritize strategic research investments and problem requirements
- Expand technical depth and domain expertise into new/adjacent areas as business needs and technology evolve
- Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP 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 (e.g., fine-tuning, RL), and robust evaluation
- Expertise in designing and training deep learning architectures for media understanding and generation, with a broad understanding of DL methods and literature
- Strong mathematical skills with knowledge of statistical methods and optimization
- Extensive experience with DL frameworks such as Tensor Flow or Py Torch
- Strong programming skills in languages such as Python, Java, or C++
- Great interpersonal skills for collaboration with technical and non-technical partners
- Advanced degree in Computer Science or related field
- Cutting-edge work on modern generative methods and their building blocks
- Expertise in 3D vision and/or graphics
- Domain experience in content production, such as live action, games, or animation, and a track record of developing tools/solutions in these areas
Generally, compensation consists of an annual salary with no bonuses. You choose each year how much of your compensation you want in salary versus stock options. The range for this role is $ – $.
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. Paid leave of absence programs are available; full-time employees accrue paid time off for vacation, holidays, and sick time. See more details about our benefits here.
Cultureand Inclusion
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 need an accommodation during the hiring process, please contact your recruiting partner. We are an equal-opportunity employer and celebrate diversity. 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.
Locationand Experience Level
Company:
Netflix
Language requirements:
Not specified
Specific requirements:
Not specified
Educational level:
Advanced degree recommended
Level of experience (years):
Senior (5+ years of experience)
Tagged as:
Industry, Machine Learning, Natural Language Processing, NLP, United States
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