Senior ML Scientist: Content & Conversation Modeling

Netflix

Seattle (WA)

On-site

USD 300,000 - 537,000

Full time

14 days+
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Benefits offered by this job

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Flexible time off
Paid leave of absence programs

Job summary

Netflix is looking for a Senior Machine Learning Scientist to develop and deploy machine learning solutions that guide content decisions. This role involves innovating predictive models and collaborating with teams across Netflix.

The ideal candidate has a strong background in machine learning, excellent communication skills, and an advanced degree in a related technical field. The compensation structure ranges from $300,000.00 to $537,000.00 with comprehensive benefits including health plans and flexible time off.

Qualifications

  • Experience navigating ambiguous problem spaces with machine learning solutions.
  • Strong communication skills for explaining complex concepts.
  • Deep familiarity with the ML lifecycle and production deployments.
  • Ability to scale ML solutions collaboratively.
  • Experience in machine learning roles.
  • Appreciation of the creative and entertainment industry is a plus.

Responsibilities

  • Innovate predictive models for content strategy decisions.
  • Partner with content strategy teams for content valuation and scheduling.
  • Own the end-to-end ML model development lifecycle.
  • Influence data and ML infrastructure development.
  • Align with Netflix values and improve culture.

Skills

Machine Learning
Python
Model Development
Data Communication
Predictive Modeling
Scikit-learn
Keras
TensorFlow

Education

MS or PhD in Computer Science or related field

Job description

Netflix is looking for a Senior Machine Learning Scientist to develop and deploy machine learning solutions that guide content decisions. This role involves innovating predictive models and collaborating with teams across Netflix.

The ideal candidate has a strong background in machine learning, excellent communication skills, and an advanced degree in a related technical field. The compensation structure ranges from $300,000.00 to $537,000.00 with comprehensive benefits including health plans and flexible time off.

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