Machine Learning Software Engineer

January 10

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• Netflix is one of the world's leading entertainment services. • We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. • In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. • You will work closely with our machine learning researchers, product managers, and other engineers. • You will contribute to the next generation of algorithms used to generate the Netflix experience by driving vision, requirements, design, implementation, testing, and ownership of software components.

🎯 Requirements

• A degree in Computer Science or a related field • 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degree • Excellent software design and development skills in Python along with Scala, Java, C++, or C# • Solid understanding of various software engineering best practices and their appropriate application • Experience building web-scale parallel and distributed computing systems • Experience with large-scale data frameworks such as Spark or Flink • Excellent collaboration skills • Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems • Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications (Preferred) • Experience building machine learning models or LLMs (Preferred) • Experience scaling and optimizing the training and serving of machine learning models (Preferred) • Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras (Preferred) • Experience with cloud computing platforms like AWS (Preferred) • Background in math, statistics, or numerical computation (Preferred) • Significant contributions to open-source projects (Preferred)

🏖️ Benefits

• Health Plans • Mental Health support • 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 • 35 days annually for paid time off for full-time hourly employees • Flexible time off for full-time salaried employees