Netflix is one of the world's leading entertainment services, with 283 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.
What we are looking for:
Excellent software design and development skills in Python along with one of Scala, Java, C++.
Experience working with state-of-the-art recommendation model development and foundation model development.
Built platform offerings for ML Researchers, Engineers, and Data Scientists.
Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.
3+ years of full time software engineering or machine learning experience with a bachelor’s and masters degree; or PhD degree. Please note that we do not require work experience if you completed your PhD for this level.
Preferred, but not required additional areas of experience:
Knowledge of machine learning algorithms.
Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.
Extensive experience with big data and distributed computing systems such as Spark, HBase, Hadoop, Iceberg.
Significant contributions to open source projects.
Experience working with public clouds, especially AWS.
More information
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What do we offer?
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $464,000.
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. See more detail about our Benefits here .
Netflix is a unique culture and environment. Learn more here .
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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