Staff Machine Learning Engineer at Tubi

San Francisco, California, United States

Tubi Logo
$239,000 – $342,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Entertainment, StreamingIndustries

Requirements

Candidates should possess 8+ years of industry experience building production Machine Learning systems, along with an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. They should also have experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks, and proficiency in building and deploying full-stack machine learning pipelines.

Responsibilities

The Staff Machine Learning Engineer will lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience, conduct deep dives into algorithmic components and systems, ensuring model optimization for performance and scalability, build and deploy high-impact robust ML pipelines, and work closely with Product, Engineering, and Data Science teams to align on product requirements and deliver machine learning-driven solutions that improve user engagement.

Skills

Machine Learning
Deep Learning
TensorFlow
PyTorch
Recommendation Systems
Full-Stack Machine Learning Pipelines

Tubi

Free ad-supported movie and TV streaming

About Tubi

Tubi provides a free streaming service that allows users to watch a large selection of movies and TV shows without any subscription fees. The platform operates on an ad-supported model, meaning that while users can access content for free, they will see advertisements during their viewing. This approach makes Tubi appealing to individuals who are looking for quality entertainment without the costs associated with services like Netflix or Hulu. Tubi primarily targets a diverse audience, including budget-conscious consumers and those who prefer streaming over traditional cable TV. Currently, Tubi operates in the United States and is working on meeting GDPR requirements to expand into European markets. The company's goal is to offer accessible entertainment while generating revenue through advertising partnerships.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$73MTotal Funding
ACQUISITIONCompany Stage
Consumer Goods, EntertainmentIndustries
201-500Employees

Benefits

Compensation - Every employee is paid a competitive & equitable salary.
Benefits - We offer generous coverage for health, dental, vision, and more for you and your dependents.
Parental Leave Program - We are proud to support growing families of all shapes and sizes and types. We welcome each new addition with generous paid time off to bond with your new addition.
Wellness - Tubi cares about your well being inside and out. That’s why we offer multiple coverage options for mental and physical well being for you and your family as well as a fitness stipend.
Tuition Reimbursement Program - Your professional growth and development are important to Tubi and we’re here to support you.
401(k) Match - Investing in your future is important to us. From our highly-rated retirement savings matches to financial advisors and planning services, we offer many resources to help keep you financially fit.

Risks

'Scenes' may struggle to differentiate from TikTok and Instagram Reels.
UK expansion faces regulatory and competitive challenges from local streaming services.
Past perceptions of Tubi as a 'scam' may hinder brand trust and growth.

Differentiation

Tubi offers a vast library of free, ad-supported content, unlike subscription services.
The 'Scenes' feature provides TikTok-style clips to enhance content discovery.
Tubi's partnerships with creators like Issa Rae boost its appeal to diverse audiences.

Upsides

Growing interest in ad-supported streaming boosts Tubi's user base and ad revenue.
The 'Scenes' feature aligns with the trend of short-form video consumption.
Tubi's potential European expansion opens new markets and revenue streams.

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