Lead Machine Learning Engineer
Launch PotatoSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Entertainment, Streaming, MediaIndustries
Requirements
- 10+ years of industry experience in Machine Learning
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
- Expertise in deep learning technologies for recommendation systems, including experience with TensorFlow, PyTorch, or similar frameworks
- Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions
Responsibilities
- 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 that models are optimized for both performance and scalability across multiple regions and product areas
- Build and deploy robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
- Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences
- Work closely with Product, Engineering, and Content teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location for this role?
The position is hybrid and requires presence at the San Francisco office.
What is the salary range for this position?
This information is not specified in the job description.
What technical skills are required for this role?
Required skills include expertise in deep learning technologies for recommendation systems using TensorFlow, PyTorch or similar, proficiency in building full-stack ML pipelines from data extraction to deployment, and solid understanding of statistical concepts like hypothesis testing and regression analysis.
What is the Machine Learning team like at Tubi?
The Machine Learning team drives innovation behind personalized user experiences for millions of viewers worldwide and tackles large-scale challenges shaping the future of streaming.
What qualifications make a strong candidate for this position?
Strong candidates have 10+ years of industry experience in Machine Learning, an MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics or related field, and the ability to deep dive into components while understanding overall ML architecture.
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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