Tubitv

Machine Learning Engineer (Staff & Principal)

San Francisco, CA; Los Angeles, CA; New York, NY (Hybrid). Posted 7 months ago

The role

You will design and implement advanced algorithms and systems to improve video personalization. You will lead the development of recommendation systems and build robust machine learning pipelines.

What you will do

  • Lead the design, development, and implementation of advanced recommendation systems and algorithms
  • Conduct deep dives into algorithmic components and systems
  • Build and deploy high-impact robust ML pipelines
  • Monitor, evaluate, and optimize the performance of deployed models
  • Work with Product, Engineering, and Data Science teams to deliver machine learning-driven solutions

Required qualifications

  • 8+ years of industry experience building production Machine Learning systems
  • MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
  • Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
  • Proficiency in building and deploying full-stack machine learning pipelines
  • Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics

Benefits

  • medical/dental/vision
  • insurance
  • 401(k) plan
  • paid time off
  • Flexible Time off Policy for salaried/exempt employees
  • twelve (12) weeks of paid bonding leave for parents
  • monthly wellness reimbursement

About the company

Tubi is a free streaming service that entertains over 100 million monthly active users. It is a division of Fox Corporation.

Machine Learning Engineer (Staff & Principal) at Tubitv | JobZoey