Director of ML Engineering & Infrastructure, Tubi
$292-417.2k
Salary applies to high cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco
Free TV and movie streaming service
Open for applications
Free TV and movie streaming service
501-1000 employees
Open for applications
$292-417.2k
Salary applies to high cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco
501-1000 employees
Company mission
To free the world’s entertainment to super-serve audiences and advertisers everywhere.
Role
Who you are
- 10+ years of industry experience spanning machine learning engineering and distributed systems
- 3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams
- MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience
- Proven expertise in building and deploying end-to-end ML systems at scale, including recommendation and personalization systems
- Strong background in distributed systems architecture, including low-latency services, streaming platforms, and large-scale serving
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML infrastructure technologies
- Track record of delivering high-quality, scalable, and fault-tolerant systems
- Excellent communication skills and ability to influence product and technical strategy
- Proven experience deploying large-scale serving systems on AWS and demonstrated expertise in leveraging Databricks for large-scale data processing and ML workflows
What the job involves
- We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design
- In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale
- You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services
- Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth
- Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization
- Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving
- Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence
- Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences
- Support best practices in experimentation, evaluation, and ML system monitoring
- Ensure cost efficiency, scalability, and performance in ML infrastructure investments
Our take
Tubi is a streaming service that was founded in 2014 on a mission to offer subscribers premium television and movies for free. To achieve this, the streaming service relies on ad revenue to support its extensive content library. Rather than focusing on producing original content, Tubi emphasizes acquiring the right to preexisting shows and movies.
Leveraging a business model centred on ad-supported streaming, Tubi has successfully disrupted the highly competitive industry. And this approach has resonated with audiences, helping the service amass over 100M monthly active users.
With its recent expansion into the UK, Tubi is poised to tap into a new and diverse audience, further solidifying its position as a major player in the ad-supported streaming market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2019
$25m
LATE VC
May 2017
$21.7m
SERIES B
Total funding: $76.7m
Company benefits
- Competitive Compensation.
- Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one.
- Family Support: We’re proud to support families of all kinds, and offer generous parental leave, childcare support, and eldercare assistance whenever you need it.
- Wellness Programs: Monthly wellness reimbursement, generous time off, and additional Tubi Holidays help us support mental and physical wellbeing for you and your family.
- Continuing Education: From education reimbursement to leadership development to certification support, we’re invested in developing our talent so you can take your career to the next level.
- Financial Support: We offer resources to help keep you financially fit and invested in your future, from our highly-rated retirement savings matches to financial advisors and planning services.
Company HQ
Financial District, San Francisco, CA
Leadership
Anjali Sud
(CEO)Prior to joining Tubi as CEO in 2023, Anjali was the CEO of Vimeo for 6 years.
Sameer Balgi
(CFO)Sameer previously spent 10 years at Amazon in various roles, including Senior Finance Manager of US Advertising and Finance Director of Amazon Advertising. He also spent nearly 6 years at Procter & Gamble in various Finance roles.
Mike Bidgoli
(CPO & CTO)Previously, Mike was the Head of Product, New Monetization Experiences at Meta. He also served as the VP of Product, Instacart App at Instacart and as a Senior Director of Product, Video at Facebook.
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