Machine Learning Software Engineer, Algorithms

🕒 June 27

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Apply expertise in software engineering to design, develop, and scale solutions for machine learning algorithms • Work closely with machine learning researchers, product managers, and other engineers to improve existing systems and enable offline experiments and A/B tests • Contribute to the next generation of algorithms by driving vision, requirements, design, implementation, testing, and ownership of software components • Collaborate with applied researchers and data scientists to implement scalable, flexible, production-ready solutions • Guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship • Collaborate with other engineers to create solutions that are used beyond the 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, but not required: Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications. • Experience building machine learning models or LLMs • Experience scaling and optimizing the training and serving of machine learning models • Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras • Experience with cloud computing platforms like AWS • Background in math, statistics, or numerical computation • 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 • 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