4 months ago
Base Salary
$239k - $342k/yr
Responsibilities
- Lead the design, development, and implementation of recommendation systems and algorithms for a global audience.
- Analyze algorithmic components and systems to optimize model performance and scalability across regions and product areas.
- Build and deploy robust machine learning pipelines spanning data extraction, feature development, model training, testing, and deployment.
- Monitor, evaluate, and optimize deployed model performance to support business goals and high-quality user experiences.
- Collaborate with Product, Engineering, and Data Science teams to define requirements, set expectations, and deliver machine learning solutions.
Requirements
- 8+ years of industry experience building production machine learning systems.
- An 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 building and deploying full-stack machine learning pipelines covering data extraction, data mining, model training, feature development, testing, and deployment.
- Strong understanding of hypothesis testing, regression analysis, and machine learning performance evaluation metrics.
- Ability to analyze individual system components while understanding the overall architecture of machine learning solutions.
Benefits
- Hybrid work arrangement is indicated.
- Eligible for an annual discretionary bonus and long-term incentive plan.
- Medical, dental, vision, insurance, 401(k), paid time off, flexible time off for salaried/exempt employees, and other applicable benefits are provided.
- Full-time regular employees receive up to 12 weeks of paid parental bonding leave within the first year of a qualifying event.
- Monthly wellness reimbursement is provided.
Tech Stack
PyTorchTensorFlow
Categories
About Tubi
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses