Machine Learning Scientist, Content Management and Distribution
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $720,000 per year
Job Level
Mid-LevelSenior
About the role
- 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
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.
Benefits
- You choose each year how much of your compensation you want in salary versus stock options.
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencesupervised learningunsupervised learningdeep learningmodel operationalizationGen AI solutionsdata analysisquantitative analysiscomputational methods
Soft skills
collaborationproblem-solvingproject ownershipcommunicationstakeholder engagementcross-functional teamworkadaptabilitycritical thinkingdecision-makingambiguity management
Certifications
Ph.D.MS degree