Senior ML Engineer, Recommendation Systems (Hybrid)

Roku

New York (NY)

Hybrid

USD 195,000 - 465,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Equity awards
Paid time off
Mental health support
Financial wellness resources

Job summary

A leading streaming platform in New York is looking for a Senior Software Engineer specializing in Machine Learning. This role involves developing and optimizing ML models for content recommendations to enhance user experience. Candidates should have 5+ years of experience in ML, strong programming skills, and a degree in Computer Science or related fields. The position offers a hybrid work model and a competitive salary range of $195,000 to $465,000 annually, along with comprehensive benefits.

Qualifications

  • 5+ years of experience in Machine Learning application.
  • Strong CS fundamentals and software engineering skills.
  • Experience in deploying ML models in production.

Responsibilities

  • Apply state-of-the-art ML models for content recommendations.
  • Run online AB tests and analyze results.
  • Collaborate with cross-functional teams to define technical specifications.
  • Maintain and enhance the ML ecosystem for scalability.
  • Train and mentor new team members.

Skills

Applying Machine Learning to large-scale problems
Designing efficient algorithms
Deep understanding of ML fundamentals
System architecture for ML models
Distributed computing experience

Education

Bachelor's/Master's in Computer Science
Ph.D. in Machine Learning

Job description

A leading streaming platform in New York is looking for a Senior Software Engineer specializing in Machine Learning. This role involves developing and optimizing ML models for content recommendations to enhance user experience. Candidates should have 5+ years of experience in ML, strong programming skills, and a degree in Computer Science or related fields. The position offers a hybrid work model and a competitive salary range of $195,000 to $465,000 annually, along with comprehensive benefits.
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