What are the responsibilities and job description for the Principal Software Engineer, ML Infrastructure position at Tubi TV?
Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world's stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.
About the Team :
The Machine Learning Infrastructure team is where cutting-edge technology meets real-world impact. We build a powerful, scalable foundation for our content recommendation engine, directly influencing the user experience. Working closely with ML, Product, and Data Science, we solve complex technical challenges to deliver innovative ML-powered solutions that delight millions.
About the Role :
As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.
Responsibilities :
Technical Leadership & Strategy :
- Vision & Influence : Define and champion the long-term vision for ML infrastructure, aligning it with company goals and industry best practices. Influence technical direction and technology selection across the ML platform
- Strategic Roadmap : Develop and maintain a roadmap (6-12 months) for the ML Infra team, anticipating future needs and proactively addressing emerging trends
- Innovation & Optimization : Identify opportunities to improve ML infrastructure efficiency, scalability, and performance. Research and advocate for new technologies and approaches to optimize the ML development lifecycle
Architecture, Design & Engineering :
Problem Solving & Delivery :
Communication & Collaboration :
Qualifications :
Bonus :
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical / dental / vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.
California Compensation
Base ($246,000 to $352,000 / year) Bonus Long-Term Incentive Plan Benefits
LI-MQ1 #LI-Hybrid
Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits :
Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.
Salary : $246,000 - $352,000
