Job Description

Netflix is seeking a talented machine learning engineer to join their Merchandising & Content Understanding pod. The role involves designing and developing models and infrastructure for algorithms that enhance content discovery and metadata across various formats, collaborating with cross-functional teams to deliver impactful machine learning solutions.

Requirements

Ph.D. or MS degree in a quantitative or computational field
4+ years of full-time work experience in one or more relevant machine-learning roles
Practical experience in supervised, unsupervised, and deep machine learning methods
Practical experience applying machine learning and Gen AI solutions to video, audio, and/or textual data sources
Practical experience operationalizing or productionizing machine learning and/or artificial intelligence solutions
Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
Exceptional written and oral communication with technical and non-technical audiences

Responsibilities

Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content metadata and merchandising and identify potentially impactful problems to solve via scalable machine learning and artificial intelligence solutions
Develop innovative systems and models that empower decision-making for stakeholders and product features that can deliver member joy by leveraging a wide variety of metadata and production media generated by and collected from our productions throughout their end-to-end lifecycle
Collaborate with team members and cross-functional partners to operationalize your models so that they can be integrated seamlessly into operational workflows
Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding machine learning algorithms and system architectures

Benefits

Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.