Principal, ML Infrastructure Engineer
Principal, ML Infrastructure Engineer
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Job Description
About Tubi:
Boldly built for every fandom Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the worlds largest collection of Hollywood movies and TV shows thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014 Tubi is part of Tubi Media Group a division of Fox Corporation.
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.
This is a hybrid role in our Toronto office.
What Youll Do:
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:
- System Design: Lead the architecture and design of complex ML systems ensuring scalability reliability security and maintainability
- Distributed Systems Expertise: Design and build scalable high-throughput and/or low-latency distributed systems using Scala and related technologies. This includes expertise in areas like distributed databases message queues and stream processing
- Quality & Standards: Champion and enforce engineering best practices including code quality testing and documentation. Contribute to the development and implementation of ML infrastructure standards
Problem Solving & Delivery:
- Technical Problem Solving: Resolve critical and complex technical challenges related to ML infrastructure demonstrating expertise in debugging performance optimization and system troubleshooting
- Project Execution: Lead and deliver complex ML infrastructure projects effectively managing scope timelines and dependencies. Mentor engineers on project management best practices
- Collaboration & Mentorship: Foster a collaborative environment and provide technical mentorship to other engineers enabling their growth and development
Communication & Collaboration:
- Cross-functional Partnership: Collaborate effectively with data scientists ML engineers and product managers to understand their needs and translate them into infrastructure solutions
- Stakeholder Management: Communicate effectively with stakeholders at all levels including senior leadership. Clearly articulate technical concepts progress updates and roadblocks
- Knowledge Sharing: Promote knowledge sharing and best practices across the organization through documentation presentations and mentorship
Your Background:
- 10 years of experience in software engineering with a significant focus on building and scaling large-scale distributed systems
- Bachelors or Masters degree in Computer Science or a related field
- Proven experience as a technical leader architecting and designing complex systems preferably in the ML infrastructure domain
- 5 years of experience with databases caching technologies and message brokers
- Expertise in Scala Java Python programming languages
- Extensive experience with cloud platforms (preferably AWS)
Bonus:
- Experience in the media or streaming industry
- Contributions to open-source projects related to ML infrastructure
#LI-Hybrid
Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee following distinctions below outline the differences between the Tubi and FOXbenefits:
- For US-based non-exempt Tubi employees the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
- For all salaried/exempt employees in lieu of the FOX Vacation policy Tubi offers a Flexible Time off Policy to manage all personal matters.
- For all full-time regular employees in lieu of FOX Paid Parental Leave Tubi offers a generous Parental Leave Program which allows parents twelve (12) weeks of paid bonding leave within the first year of birth adoption surrogacy or foster placement of a child in addition to applicable government leave program(s) and FOXs short-term disability policy. This time is 100% paid through a combination of any applicable state city and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
- For all full-time regular employees Tubi offers a monthly wellness reimbursement.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin gender identity disability protected veteran status or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Employment Type
Full Time
