Staff Machine Learning Engineer, Tubi
$239-342k
+ Annual Discretionary Bonus + Long-Term Incentive Plan
Free TV and movie streaming service
Open for applications
Free TV and movie streaming service
501-1000 employees
Open for applications
$239-342k
+ Annual Discretionary Bonus + Long-Term Incentive Plan
501-1000 employees
Company mission
To free the world’s entertainment to super-serve audiences and advertisers everywhere.
Role
Who you are
- 8+ years of industry experience building production Machine Learning systems
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
- Proficiency in building and deploying full-stack machine learning pipelines
What the job involves
- The Machine Learning team at Tubi drives the innovation behind personalized user experiences for millions of viewers worldwide
- From enhancing recommendations and search to content understanding and ads optimization, our team tackles large-scale challenges that shape the future of streaming
- We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization
- In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy
- As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions
- Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
- Leverage cutting-edge LLMs and Computer Vision to address problems such as feature extraction from video assets
- 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 high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
- Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Our take
Tubi is a streaming service that was founded in 2014 with the mission of offering 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. This approach has resonated with audiences, helping the service amass 51M active subscribers worldwide.
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
$20.8m
SERIES B
Total funding: $75.8m
Company benefits
- 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
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