About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We are seeking an ambitious Software Engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix's MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you'll develop expertise across the full ML lifecycle while working with cutting-edge personalization technologies. MLP and Model Development and Management teams are working with various teams at Netflix, and this role will mainly focus on personalization models. You'll gather requirements, design, and implement products that help accelerate model development for personalization use cases. You'll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship. To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications, be a good communicator, and work well in large cross-functional teams.

Requirements

  • Experience developing platform solutions tailored for ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.
  • Excellent software design and development skills in Python along with one of Scala, Java, C++.
  • Experience working with state-of-the-art ML model development in one of the domains, such as recommendation model development, content understanding or content generation.
  • Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.
  • 5+ years of full time software engineering or machine learning experience with a bachelor's and master's degree; or PhD degree.

Nice To Haves

  • Experience building machine learning models or LLMs
  • Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.
  • Experience working with public clouds, especially AWS.
  • Significant contributions to open source projects.

Benefits

  • Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
  • We also offer 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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service