Machine Learning Scientist, Content & Conversation Modeling
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $750,000 per year
Job Level
Mid-LevelSenior
Tech Stack
KerasPythonPyTorchScikit-LearnTensorflow
About the role
- Innovate on a suite of predictive models to help inform our content strategy.
- Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
- Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
- Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
- Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
- Live Netflix values while bringing a new perspective to continue improving our culture.
Requirements
- An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
- Exceptional communication skills.
- Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
- An advanced degree (MS or PhD) in Computer Science, Economics, OR, Statistics, or a related technical field with a focus on machine learning and predictive modeling.
- 4+ years of relevant experience in one or more machine learning roles.
Benefits
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningfeature engineeringmodel trainingmodel evaluationmodel deploymentmodel monitoringPythonscikit-learnKeras
Soft skills
communicationproblem-solvingcollaborationthought partnershipinfluenceadaptabilityinnovationtechnical judgment
Certifications
MS in Computer SciencePhD in Computer ScienceMS in EconomicsPhD in EconomicsMS in StatisticsPhD in Statistics