
About Netflix
The streaming service redefining entertainment worldwide
Key Highlights
- Over 238 million subscribers across 190 countries
- Headquartered in Los Gatos, California
- Valued at over $150 billion
- Offers a vast library of original content and films
Netflix, headquartered in Los Gatos, California, is a leading streaming service with over 238 million subscribers globally. The platform offers a vast library of movies, TV shows, and original content, including award-winning series like 'Stranger Things' and 'The Crown.' With a market valuation exc...
🎁 Benefits
Employees enjoy competitive salaries, stock options, unlimited PTO, and comprehensive health benefits. Netflix also offers a flexible remote work poli...
🌟 Culture
Netflix fosters a culture of freedom and responsibility, encouraging employees to take risks and make decisions independently. The company values tran...

Software Engineering • Mid-Level
Netflix • California - Remote
Skills & Technologies
Overview
Netflix is hiring a Software Engineer for their Training Platform team under the Machine Learning Platform organization. You'll design and build scalable ML infrastructure using technologies like Python and AWS. This position requires experience in machine learning and software development.
Job Description
Who you are
You have a strong background in software engineering with a focus on machine learning — you understand the intricacies of building scalable systems that support large-scale model training and evaluation. Your experience with Python and Java allows you to design efficient algorithms and workflows that enhance the performance of machine learning models.
You are familiar with cloud platforms, particularly AWS, and have hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful solutions.
Desirable
Experience with machine learning frameworks such as TensorFlow or PyTorch is a plus, as is familiarity with data processing tools like Apache Spark. You have a keen interest in optimizing ML workflows and are always looking for ways to improve system efficiency and cost-effectiveness.
What you'll do
In this role, you will be responsible for designing and building the platform that powers large-scale machine learning model training and evaluations across Netflix. You will co-design and optimize systems to enhance the scalability and cost-effectiveness of model training processes. Collaborating closely with data scientists and other engineers, you will ensure that the infrastructure meets the diverse needs of various ML use cases within the company.
You will also engage in performance tuning and troubleshooting of ML workflows, ensuring that they run smoothly and efficiently. Your contributions will directly impact Netflix's ability to deliver personalized content to millions of users worldwide, making your work crucial to the company's mission.
What we offer
At Netflix, you will be part of a culture that values creativity and innovation. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a dynamic environment where your ideas are valued and you can make a real difference in how we leverage machine learning to enhance user experiences.
Join us in pushing the boundaries of storytelling and technology, and help us create the next chapter in entertainment.
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