Creative Tech Researcher 5

Netflix

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Los Angeles, CA
Salary: $466,000–$750,000 / yr
Employment: Full-time
Posted: 93 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k

This role $608k

$142k $815k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $206,787–$254,750 — the blue band above. At the midpoint, this role pays about $608k versus about $231k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 179 open roles on FindRole.

Listed pay typically runs $436,000–$700,000 across 123 roles with salary data.

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At a glance

TL;DR · Creative Tech Researcher 5

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The Creative Tech Researcher 5 joins the Creative Technology Research team to solve high-impact technical challenges in filmmaking by building foundational video generation models. As a Machine Learning Researcher, you will develop and optimize model architectures for image and video generation and editing while preparing and organizing data for training large-scale models. Your daily work involves implementing efficient distributed training and data loading infrastructure to support large-scale clusters and conducting cross-team evaluations to build representative benchmarks for model outputs. You must possess deep research expertise in deep learning fundamentals like Transformers and Diffusion models. The role requires a data-centric mindset and proven experience in distributed systems for training and inferring large-scale models to ensure innovative content production tools within a research-intensive environment.

Skills

Machine Learning Deep Learning Transformers Distributed Training Video Generation Distributed Systems Model Architecture Large-Scale Training Evaluation Frameworks

What you'll do

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 for large-scale clusters.
Conduct cross-team evaluations to gather feedback on model outputs.
Build representative benchmarks to ensure high quality across all model outputs.
Integrate groundbreaking research into the global production ecosystem.
Solve critical technical challenges to improve innovative content production tools.

What we're looking for

Deep understanding of deep learning fundamentals such as Transformers and Diffusion models.
Skilled in data preparation and curation for large-scale image and video generation models.
Proven experience in training and inferring large-scale models distributively on large clusters.
Ability to operate in a fast-paced, innovative culture while focusing on high-visibility problems.
Experience in delivering high-impact products or open-source projects (preferred).

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