Netflix Senior Engineering Manager Data Infra Machine Learning Platform 

United States, Oregon 

151225828

The Data Infrastructure pillar’s charter is broad, but it mainly spans across these main areas:

• Building scalable infrastructure for ML practitioners to acquire and load data for Netflix’s current and next-gen personalization and recommendation model training

• Developing data-related frameworks and services for training machine learning models in various content and studio use cases, including computer vision models, large language models (LLMs), and multi-modal generative models (GenAI).

• Advancing frameworks and services for feature and label definitions, feature engineering, and data transformations that accelerate iterative model development and high-throughput large-scale model training.

• Vision: Understanding the entertainment business and how machine learning changes the business landscape will allow you to lead your team by providing inspiring context.

• Partnership & Culture: Establishing positive partnerships with both business and technical leaders across Netflix will be critical. We want you to regularly demonstrate Netflix culture values like high performance, selflessness, extraordinary candor, context over control, and curiosity and creativity in all your engagements with colleagues.

• Judgment: Netflix teams tend to be leaner than our peer companies, so you will rely on your judgment to prioritize projects and work closely with your partners and customers.

• Technical acumen: We expect Netflix leaders to be well-versed in their technical domain and use products we build so they can provide guidance for the team when necessary. Proficiency in understanding the needs of research teams and how to implement efficient ML infrastructure to meet those needs will be crucial.

• Recruiting

Minimum Job Qualifications

• Experience leading large-scale ML platform/infrastructure teams

• 10+ years of total experience and 5+ years of management experience, with a track record of hiring and growing diverse, highly talented tenured engineers and people leaders deep into their careers to maximize their impact

• Strategic & analytical thinking skills combined with curiosity, customer empathy, and the ability to build strong relationships with cross-functional stakeholders

• Excellent at communicating context (written via memo and presentations and verbal in large meetings), giving and receiving feedback, fostering new ideas, and empowering others without micromanagement

• Comfortable managing a hybrid team with team members and partners distributed across (US) geographies & time zones

Preferred Qualifications

• Experience working with state-of-the-art recommendation model development and foundation model development

• Built platform offerings for ML Researchers, Engineers, and Data Scientists

• ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain

• Exposure to modern experimentation and A/B testing methodologies for consumer-facing applications

• Familiarity with Python and deep learning frameworks like Pytorch and TensorFlow and their usage in industry settings

• MS/PhD in Computer Science, Engineering, or a related field

Job is open for no less than 7 days and will be removed when the position is filled.