ML Software Engineer L4/L5, AI for Member Systems

November 2

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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

• Apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. • Work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. • Contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. • Collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. • Guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. • Create solutions that are used beyond our team.

🎯 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 • Preferred: 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

🏖️ 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