Netflix · 1 week ago
Machine Learning Engineer (L4) - Production Science
United States
Full-time
Remote
Mid, Senior Level
$300K/yr - $537K/yrNetflix is a company dedicated to entertaining the world through innovative storytelling and technology. The Production Science team is seeking a Machine Learning Engineer to develop, optimize, and deploy machine learning models that enhance financial and operational workflows in the Netflix studio.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Design, maintain, automate, and optimize ML training pipelines and realtime model serving infrastructure
Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models
Collaborate closely with ML scientists and engineering teams to integrate deployed models into studio applications
Develop new ML solutions to extract information from studio artifacts like scripts, budgets, cost reports, and schedules
Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency
Qualification
Required
You have a strong foundation in machine learning, including supervised and unsupervised learning, and model evaluation
You have a track record of deploying performant and scalable data-intensive applications
You have a strong understanding of feature engineering, data pipelines, and model lifecycle management
You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision
You are proficient in Python and have experience with ML frameworks such as PyTorch, or Jax
You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges
You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences
You are highly collaborative and thrive in dynamic environments, contributing positively to the team and company culture
Benefits
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
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 paid time off
Full-time salaried employees are immediately entitled to flexible time off
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
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 CompanyTotal Funding
$72.11BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $67.2B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
The Business Journal
2026-01-25
The Motley Fool
2026-01-25
2026-01-25
Company data provided by crunchbase