Machine Learning Engineer (L5) - Content & Media ML Foundations

2 Months ago • 5 Years + • Artificial Intelligence • $150,000 PA - $750,000 PA

Job Summary

Job Description

Netflix's Content & Media ML Foundations team seeks an experienced Machine Learning Engineer (L5) to design, build, and optimize scalable ML pipelines for content understanding and media intelligence. Responsibilities include developing and deploying large-scale ML models using Netflix's infrastructure, optimizing model performance and inference efficiency, automating ML workflows, collaborating with ML scientists and engineers, and improving ML observability. The ideal candidate possesses a strong foundation in ML/DL, experience with large generative models across multiple modalities (text, image, video), and proficiency in Python and frameworks like PyTorch or Jax. The role involves working with high-throughput distributed environments and contributing to innovations in filmmaking and media intelligence.
Must have:
  • Design, build, optimize ML pipelines
  • Deploy large-scale ML models
  • Optimize model performance and inference
  • Automate ML workflows
  • Collaborate with ML scientists
  • Improve ML observability
Perks:
  • Comprehensive benefits
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan
  • Stock Option Program
  • Paid time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built that use technologies like Computer Vision, Graphics, Machine Learning & Generative Algorithms to our creators to tell the best version of the story they want while allowing our studio to scale further.

The Content & Media ML Foundations team within Data Science and Engineering, builds and delivers high-leverage foundational ML solutions using Netflix’s unique media data, driving impact across content creation and promotion, member personalization and advertising (Ads). Our work advances multi-modal content understanding, and we conduct exploratory research on generative models to drive long-term innovations in filmmaking and media intelligence.

We are looking for an experienced ML engineer to develop, optimize and deploy scalable ML solutions that power content intelligence at Netflix. 

Responsibilities

  • Design, build and optimize ML pipelines for content understanding and media intelligence. 

  • Develop and deploy large-scale ML models efficiently using Netflix’s ML infrastructure.

  • Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments. 

  • Automate ML workflows for training, tuning and deployment, enabling faster experimentation and productization.

  • Collaborate with ML scientists and engineers to integrate multimodal models and embeddings into downstream applications, including retrieval, ranking and search pipelines. 

  • Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models. 

  • Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency. 

About You

  • You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures. 

  • You have a track record of deploying ML systems at scale, particularly in high-performance inference and distributed training environments. 

  • You have hands-on experience with training large generative models across multiple modalities (text, images, videos).

  • 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 have at least 5 years of relevant industry experience designing and implementing ML models, particularly in the areas of natural language processing, audio and video understanding.

  • You are proficient in Python and have experience with ML/DL 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 thrive in fast-paced dynamic environments, contributing positively to team collaboration and company culture.

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. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.

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 paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits .

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate 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.

Job is open for no less than 7 days and will be removed when the position is filled.

Similar Jobs

NVIDIA - System Software Engineer, Database and API Design

NVIDIA

Shanghai, Shanghai, China (On-Site)
2 Months ago
CIEL HR - Game Developer

CIEL HR

Mumbai, Maharashtra, India (On-Site)
10 Months ago
ByteDance - Video Analysis and Quality Algorithm Intern 2023 Summer/Fall (PHD)

ByteDance

Seattle, Washington, United States (On-Site)
6 Months ago
Google - Senior Software Developer, Google Cloud Apps

Google

Zürich, Zurich, Switzerland (On-Site)
3 Weeks ago
Maxis Studios - Senior Software Engineer - C#

Maxis Studios

Bogotá, Bogota, Colombia (On-Site)
1 Month ago
NVIDIA - Global Developer Relations Account Manager – Ansys

NVIDIA

Canada (On-Site)
2 Months ago
Google - Field Solutions Architect, Generative AI, Google Cloud

Google

Madrid, Community Of Madrid, Spain (On-Site)
3 Weeks ago
ByteDance - Research Scientist Graduate (Foundation Model - Generative AI) - 2025 Start (PhD)

ByteDance

San Jose, California, United States (On-Site)
4 Months ago
Google - Senior Software Engineer, Applied AI

Google

Kraków, Lesser Poland Voivodeship, Poland (On-Site)
3 Weeks ago
Microsoft - Language Engineer

Microsoft

Mountain View, California, United States (Hybrid)
4 Weeks ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Scopely - Senior Software Engineer

Scopely

Spain (Hybrid)
6 Months ago
NVIDIA - Machine Learning Engineer Intern - 2025

NVIDIA

Beijing, Beijing, China (On-Site)
2 Months ago
Google - Software Engineer, Machine Learning Compilers

Google

Bengaluru, Karnataka, India (On-Site)
3 Weeks ago
Google - Software Engineer, Metrics and Business Intelligence

Google

Mexico City, Mexico City, Mexico (On-Site)
3 Weeks ago
Epic Games - Research Engineer

Epic Games

London, England, United Kingdom (On-Site)
3 Months ago
Dream Games - Senior Graphic Designer

Dream Games

İstanbul, Türkiye (On-Site)
8 Months ago
Snowed In Studios - Lead Software Developer

Snowed In Studios

Quebec, Canada (Remote)
1 Month ago
Hitachi - Artificial Intelligence - JBU

Hitachi

Chennai, Tamil Nadu, India (On-Site)
6 Months ago
Meta - Research Engineer (Robotics)

Meta

Menlo Park, California, United States (On-Site)
4 Weeks ago
Amazon - Software Dev Engineer I, Amazon University Talent Acquisition

Amazon

Bengaluru, Karnataka, India (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in United States

ByteDance - Senior Software Engineer - Serverless Compute Infrastructure

ByteDance

Seattle, Washington, United States (On-Site)
3 Months ago
Next Level Business Services - IBM MDM delivery lead

Next Level Business Services

Boston, Massachusetts, United States (On-Site)
6 Months ago
ByteDance - Facilities Analyst, AMS

ByteDance

San Jose, California, United States (On-Site)
4 Weeks ago
CatFace - Showrunner

CatFace

Austin, Texas, United States (On-Site)
1 Month ago
NVIDIA - Senior Solutions Architect, Networking - Cloud Service Providers

NVIDIA

California, United States (Hybrid)
1 Month ago
ByteDance - (LOA) Leave of Absence Partner - HR Operations - AMS

ByteDance

San Jose, California, United States (On-Site)
6 Months ago
Patel greene - Senior Roadway Engineer

Patel greene

Tallahassee, Florida, United States (On-Site)
6 Months ago
Google - Technical Program Manager II, Cloud Networking, Telecommunications

Google

Atlanta, Georgia, United States (On-Site)
3 Weeks ago
ION - Business Consultant L1 - WallStreet Suite

ION

New York, New York, United States (On-Site)
1 Month ago
Onward Search - Java Developer

Onward Search

San Jose, California, United States (Hybrid)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Keywords Studios - AI - Research Associate (Prompts)

Keywords Studios

Silesian Voivodeship, Poland (On-Site)
1 Month ago
The Walt Disney Company - Senior Machine Learning Engineer - Ad Platforms

The Walt Disney Company

San Francisco, California, United States (On-Site)
2 Months ago
Lionbridge Games - Games Language AI Specialist (Linguist)

Lionbridge Games

Masovian Voivodeship, Poland (On-Site)
1 Month ago
Meta - Research Engineer - Conversational AI - Reality Labs

Meta

Menlo Park, California, United States (On-Site)
3 Weeks ago
Genies - Machine Learning Infrastructure Engineer, 3D Model Inference & Deployment

Genies

San Mateo, California, United States (On-Site)
1 Month ago
Dolby Laboratories - Senior Foundational AI Researcher

Dolby Laboratories

Bengaluru, Karnataka, India (Hybrid)
7 Months ago
ByteDance - Research Scientist, Edge Research Project for General Intelligence

ByteDance

San Jose, California, United States (On-Site)
4 Weeks ago
Google - Technical Program Manager III, AI/ML, Cloud AI Systems

Google

Austin, Texas, United States (On-Site)
3 Weeks ago
Trend Micro - NLP / Prompt Engineer (VicOne_Automotive Security)

Trend Micro

Taipei City, Taiwan (On-Site)
7 Months ago
Reality Games - Machine Learning Engineer - Monopoly World

Reality Games

Kraków, Lesser Poland Voivodeship, Poland (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Netflix is one of the world's leading entertainment services with over 247 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

London, England, United Kingdom (On-Site)

Paris, Île-de-France, France (On-Site)

Seoul, South Korea (On-Site)

Los Gatos, California, United States (On-Site)

Pennsylvania, United States (On-Site)

Bogota, Colombia (On-Site)

Singapore, Singapore (On-Site)

Los Angeles, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Netflix

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug