Overview
On Site
USD 150,000.00 per year
Full Time
Skills
Media
Innovation
Artificial Intelligence
Research and Development
Workflow
Collaboration
Research
System Requirements
Software Engineering
Object-Oriented Programming
Python
Java
C++
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Data Processing
IaaS
Amazon S3
Docker
GPU
Training
Debugging
CUDA
User Experience
Communication
Multimedia
Algorithms
Amazon Web Services
Deep Learning
PyTorch
TensorFlow
Content Creation
Animation
VFX
Unreal Engine
Houdini
Nuke
Recruiting
SAP BASIS
Military
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.
The Studio Media Algorithms and Eyeline Research teams are at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia content at Netflix. Our work is aimed at increasing member value and driving efficiency of the content creation process, ultimately bringing more joy to viewers worldwide.
We are seeking an experienced Machine Learning Software Engineer to join our team of world-class researchers. You will work closely with the scientists at the Eyeline Research team, and design and develop scalable systems and infrastructure that enable researchers to create and deploy AI/CV/graphics algorithms for use by studio/content creators and stakeholders.
In this role, you will:
About you:
Bonus experience:
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.
Inclusion 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.
The Studio Media Algorithms and Eyeline Research teams are at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia content at Netflix. Our work is aimed at increasing member value and driving efficiency of the content creation process, ultimately bringing more joy to viewers worldwide.
We are seeking an experienced Machine Learning Software Engineer to join our team of world-class researchers. You will work closely with the scientists at the Eyeline Research team, and design and develop scalable systems and infrastructure that enable researchers to create and deploy AI/CV/graphics algorithms for use by studio/content creators and stakeholders.
In this role, you will:
- Design and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.
- Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.
- Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.
- Participate in model development and propose scalable designs.
- Champion and facilitate software engineering best practices within the team.
About you:
- Proven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.
- Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.
- Proficient in cloud infrastructure, including S3, Docker containers.
- Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
- Passionate about transforming ideas into products and enhancing user experience.
- Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
Bonus experience:
- Experience building end-to-end multimedia systems and algorithms.
- Deep experience with AWS and understanding of FSx.
- Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
- Experience in the content creation domain, such as visual effects or animation.
- Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.
- Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.
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.
Inclusion 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.