Machine Learning Engineer (L4) - Production Science jobs in United States
cer-icon
Apply on Employer Site
company-logo

Netflix · 2 months ago

Machine Learning Engineer (L4) - Production Science

Netflix is one of the world's leading entertainment services, providing a variety of content to over 300 million paid members globally. The Production Science team is seeking an ML Engineer to develop, optimize, and deploy machine learning models that support financial and operational decisions within the Netflix studio.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming
check
Comp. & Benefits
check
H1B Sponsor Likelynote

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

Machine LearningPythonML frameworksFeature EngineeringData PipelinesModel Lifecycle ManagementComplex Problem SolvingCommunicationCollaboration

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

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

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 Company
Total Funding
$63.91B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

leader-logo
Gregory Peters
Co-CEO
linkedin
leader-logo
Ted Sarandos
Co-CEO
linkedin
Company data provided by crunchbase