ML Scientist: Content Intelligence & Analytics

Netflix, Inc.; Los Angeles (CA); In loco; USD 170.000 - 720.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health plans

Mental health support

401(k) with match

Stock options

Disability programs

Health Savings Account

Flexible Spending Accounts

Family-forming benefits

Paid time off

Flexible time off

Descrizione del lavoro

Netflix, Inc. is seeking a Machine Learning Scientist to develop foundational tools for member analytics and content understanding.

You will design models for visual, audio, and text data, and support ETLs and downstream tooling that influence content planning and promotion decisions. You will work with product managers, engineers, data scientists, and content teams to define problems, roadmaps, and priorities, while staying active in the ML community and learning from latest research to drive

Competenze

• MS or PhD in a technical field with ML/AI focus.
• Strong foundation in ML and DL including embedding methods.
• Proficiency in Python or R and ML frameworks.
• Experience with SQL and building end-to-end data pipelines.
• Excellent communicator with ability to explain complex concepts.

Mansioni

• Design and implement state-of-the-art ML models for visual, audio, and textual data.
• Collaborate with cross-functional teams to define problems and roadmaps.
• Communicate results to both technical and non-technical stakeholders.
• Engage with ML community to learn, teach, and contribute to Netflix ML branding.
• Stay updated with latest ML developments and apply to content workflows.

Conoscenze

Machine learning

Deep learning

Embedding methods

Algorithm development

Communication

Autonomy

Formazione

MS or Ph.D. in CS/CE/ cognitive science / E.E.

Strumenti

Python

R

ML frameworks

SQL

Data pipelines

Descrizione del lavoro

Netflix, Inc. is seeking a Machine Learning Scientist to develop foundational tools for member analytics and content understanding.

You will design models for visual, audio, and text data, and support ETLs and downstream tooling that influence content planning and promotion decisions. You will work with product managers, engineers, data scientists, and content teams to define problems, roadmaps, and priorities, while staying active in the ML community and learning from latest research to drive