Creative Tech Researcher 4

Netflix, Inc.; Los Angeles (CA); On-site; USD 300,000 - 537,000; Full time

Benefits offered by this job

Health plans

401(k) retirement plan with employer match

Paid leave

Job summary

Netflix, Inc. is seeking a Machine Learning Researcher in Los Angeles to integrate groundbreaking research into their global production ecosystem. You will be developing models for image and video generation while solving critical technical challenges.

Key responsibilities include optimizing model architectures, managing data strategy, and implementing large-scale training. Netflix offers a competitive annual salary of $300,000.00 – $537,000.00 and comprehensive benefits, promoting an inclusive workplace.

Qualifications

• Deep understanding of fundamentals in deep learning, such as Transformers and Diffusion.
• Skilled in data preparation and curation.
• Proven experience in training and inferring large-scale models distributively.

Responsibilities

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

Skills

Deep understanding of deep learning fundamentals

Data preparation and curation

Training large-scale models distributively

Ability to operate in a fast-paced culture

Job description

Role

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 to gather feedback and build representative benchmarks to ensure quality across model outputs.

Requirements

• Research Expertise: Deep understanding of fundamentals in deep learning, such as Transformers, Diffusion, etc.
• Data‑Centric Mindset: Skilled in data preparation and curation.
• Distributed Systems: Proven experience in 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: Experience in delivering high‑impact products or open‑source projects.

Compensation

Annual salary range: $300,000.00 – $537,000.00. Compensation is comprised solely of an annual salary with the option to allocate a portion to stock options.

Benefits

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, life and serious injury benefits, and paid leave. Full‑time hourly employees accrue 35 days annually for paid time off; salaried employees are entitled to flexible time off.

Equal Opportunity Employer

Netflix is an equal‑opportunity employer and celebrates 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.