Machine Learning Engineer (Staff & Principal) Job at Tubi Tv in Los Angeles
Tubi Tv, Los Angeles, CA, United States
About the Role
The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.
We are seeking a highly skilled 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.
What You’ll Do
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 high‑impact 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 Data Science teams to align on product requirements, set expectations, and deliver machine learning‑driven solutions that improve user engagement
Background
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: 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
Compensation & Benefits
Pay range: $239,000 - $342,000 USD for high‑cost labor markets such as Los Angeles, New York City, and San Francisco.
Principal Level: $292,000 - $417,000 USD.
This role also eligible for an annual discretionary bonus, long‑term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
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.
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The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.
We are seeking a highly skilled 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.
What You’ll Do
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 high‑impact 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 Data Science teams to align on product requirements, set expectations, and deliver machine learning‑driven solutions that improve user engagement
Background
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: 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
Compensation & Benefits
Pay range: $239,000 - $342,000 USD for high‑cost labor markets such as Los Angeles, New York City, and San Francisco.
Principal Level: $292,000 - $417,000 USD.
This role also eligible for an annual discretionary bonus, long‑term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
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.
#J-18808-Ljbffr