Creative Tech Researcher 5

Netflix, Inc.; Los Angeles (CA); On-site; USD 466,000 - 750,000; Full time

Benefits offered by this job

Health Plans

401(k) Retirement Plan

Stock Option Program

Paid leave

Job summary

Netflix, Inc. is seeking a Machine Learning Researcher to lead the development of innovative creative technology. The position involves optimizing model architectures for image and video generation, preparing data for training, and ensuring quality through cross-team evaluations.

The ideal candidate will have expertise in deep learning fundamentals, particularly in Transformers and Diffusion models, and will thrive in a fast-paced environment. This role offers a competitive salary range of $466,000.00 – $750,000.00 and comprehensive benefits including health plans, 401(k), and flexible time off.

Qualifications

• Deep understanding of deep learning fundamentals including Transformers and Diffusion models.
• Skilled in data preparation and curation.
• Proven experience with distributed systems for large-scale model training.

Responsibilities

• Develop and optimize model architectures for image and video generation and editing.
• Prepare and organize data for training large-scale models.
• Implement efficient distributed training infrastructure.

Skills

Deep learning fundamentals

Data preparation and curation

Training large-scale models

Innovative problem-solving

Job description

We are seeking a Machine Learning Researcher to define the next generation of creative technology. In this role, you will be responsible for integrating groundbreaking research into Netflix's massive global production ecosystem and solving critical technical challenges to ensure Netflix maintains its edge in delivering world-class entertainment through innovative content production tools.

Responsibilities

• Foundational Modeling: Develop and optimize model architectures for image and video generation and editing.
• Data Strategy: Prepare and organize data for training large‑scale image and video generation models.
• Large‑Scale Training: Implement efficient distributed training and data loading infrastructure to support training on large‑scale clusters.
• Evaluation Frameworks: Conduct cross‑team evaluations, gather feedback, and build representative benchmarks to ensure quality across model outputs.

Qualifications

• Research Expertise: Deep understanding of fundamentals in deep learning, such as Transformers and Diffusion models.
• Data‑Centric Mindset: Skilled in data preparation and curation.
• Distributed Systems: Proven experience training and inferring large‑scale models distributively on large clusters.
• Impact‑Oriented: Ability to operate in a fast‑paced, innovative culture while focusing on high‑visibility problems.
• Bonus: Experience delivering high‑impact products or open‑source projects.

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. 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 pay. Full‑time salaried employees are immediately entitled to flexible time off.

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. If you need an accommodation or adjustment during the hiring process, please let us know.