Software Engineer 4/5 – AI for Member Systems

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Netflix

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10.000+ Mitarbeiter

Gegründet 1997

📱 Medien

👥 B2C

Media • B2C

Netflix ist ein globales Streaming-Unterhaltungsunternehmen und Inhaltsproduzent, dessen erklärte Mission es ist, „die Welt zu unterhalten“. Es betreibt eine verbraucherorientierte Abonnementplattform, die TV-Sendungen, Filme und Originalprogramme auf Abruf anbietet, und betreibt außerdem eine öffentliche Karriereseite, die den Schwerpunkt auf Kultur, Inklusion und Einstellungsanpassungen legt. Der bereitgestellte Text hebt hervor, dass Netflix weltweit Talente rekrutiert, seine Seiten zu Arbeitsleben und Kultur sowie seine öffentlich zugänglichen Arbeitgebermaterialien.

Beschreibung

• Apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms • Collaborate closely with machine learning researchers, product managers, and other engineers to develop new systems and improve existing ones • Enable offline experiments and A/B tests • Drive the vision, requirements, design, implementation, testing, and ownership of software components for algorithmic innovation • Collaborate with applied researchers and data scientists to implement scalable, flexible, production-ready solutions for algorithms • 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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