Machine Learning Engineer, Production Science
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
PythonPyTorch
About the role
- Design, maintain, automate, and optimize ML training pipelines and realtime model serving infrastructure
- Improve ML observability, model evaluations, model monitoring, and debugging tools
- Collaborate closely with ML scientists and engineering teams
- Develop new ML solutions to extract information from studio artifacts
- Stay updated with ML infrastructure advancements and new technologies
Requirements
- Strong foundation in machine learning, supervised and unsupervised learning, and model evaluation
- Track record of deploying performant and scalable data-intensive applications
- Strong understanding of feature engineering, data pipelines, and model lifecycle management
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field
- Proficient in Python and experience with ML frameworks such as PyTorch or Jax
- Excellent problem-solving skills and communication abilities
- Highly collaborative and adaptable in dynamic environments
Benefits
- Inclusion as a Netflix value
- Accommodation/adjustment for a disability during the hiring process
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningsupervised learningunsupervised learningmodel evaluationfeature engineeringdata pipelinesmodel lifecycle managementPythonPyTorchJax
Soft skills
problem-solvingcommunicationcollaborationadaptability
Certifications
MS in Computer SciencePhD in Computer ScienceMS in Electrical EngineeringPhD in Electrical Engineering