Staff Principal ML Engineer – Global Personalization & Recs

Tubi Tv

Los Angeles, New York, San Francisco (CA, NY, CA)

Hybrid

USD 239,000 - 342,000

Full time

14 days+
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Benefits offered by this job

Annual discretionary bonus
Long-term incentive plan
Medical/dental/vision insurance
401(k) plan
Paid time off

Job summary

A leading streaming service provider in Los Angeles is seeking an experienced Machine Learning Engineer to lead the design and implementation of advanced recommendation systems. The role demands expertise in building and deploying robust machine learning pipelines, as well as collaboration with various teams to enhance user engagement. Candidates should have a deep understanding of deep learning technologies, alongside 8+ years of industry experience. The position offers a competitive salary and various benefits including bonuses and health insurance.

Qualifications

  • 8+ years of industry experience building production Machine Learning systems.
  • Experience with recommendation systems and deep learning technologies.
  • Proficient in full-stack machine learning pipelines.

Responsibilities

  • Lead design and implementation of recommendation systems for a global audience.
  • Build and deploy robust ML pipelines for data extraction and model training.
  • Collaborate with cross-functional teams to align on product requirements.

Skills

Deep learning technologies
Machine Learning systems
Data extraction and mining
Model training and testing
Statistical analysis

Education

MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics

Tools

TensorFlow
PyTorch

Job description

A leading streaming service provider in Los Angeles is seeking an experienced Machine Learning Engineer to lead the design and implementation of advanced recommendation systems. The role demands expertise in building and deploying robust machine learning pipelines, as well as collaboration with various teams to enhance user engagement. Candidates should have a deep understanding of deep learning technologies, alongside 8+ years of industry experience. The position offers a competitive salary and various benefits including bonuses and health insurance.
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