Tubi is hiring: Principal Machine Learning Engineer in San Francisco

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 Principal Machine Learning Engineer to contribute to transformative projects in video personalization, with a focus on recommendation foundation modeling. 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.

This is a hybrid role for our San Francisco office.

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 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.

Your Background:

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.

#LI-SL4 #LI-Hybrid

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is 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.

High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $292,000 — $417,200 USD

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For US‑based non‑exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.

For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.

For all full‑time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short‑term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage‑replacement programs in addition to contributions made by Tubi.

For all full‑time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:
Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator‑led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

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

In Summary: The Principal Machine Learning Engineer will lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience . This is a hybrid role for our San Francisco office . The pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed below .

En Español:

Con el mayor inventario de la industria y cientos de millones de espectadores, abordamos los problemas en el espacio de las recomendaciones, búsqueda, comprensión del contenido y optimización de anuncios que dan forma al futuro de la transmisión. Buscamos un ingeniero principal de aprendizaje automático altamente calificado para contribuir a proyectos transformadores en personalización de vídeo, con enfoque en modelado de base de recomendación. En este papel, diseñarás e implementarás algoritmos y sistemas avanzados para mejorar nuestra estrategia de personalización. Como experto técnico sénior, abordará problemas complejos en el aprendizaje automático a escala, colaborando estrechamente con equipos interfuncionales para desarrollar y optimizar soluciones basadas en aprendizaje de máquina. Esta es una función híbrida para nuestra oficina de San Francisco. Lo que harás: Dirigir el diseño, desarrollo e implementación de sistemas avanzados de recomendación y algoritmos para un público global. Realizar inmersiones profundas en componentes y sistemas algorítmicos, asegurándose de que los modelos sean optimizados tanto para su rendimiento como la escalabilidad en varias regiones y áreas del producto. Construir y implementar tuberías robustas de ML, incluyendo extracción de datos, desarrollo de características, capacitación de modelo, pruebas y despliegue. Seguidamente monitorear, evaluar y optimisar el desempeño de los modelos desplegados, garantizando que cumplan las metas empresariales y experiencias de alta calidad. Trabajar cerca con equipos de Ingeniería de Productos y Contenido para alinearse con los requisitos de productos, expectativas de usuarios y mejorar sus soluciones de participación en Machine Learning. Experiencia en tecnologías de aprendizaje profundo para sistemas de recomendación, incluida la experiencia con TensorFlow, PyTorch o marcos similares. Proficiencia en construir e implementar oleoductos completos de aprendizamiento automático: extracción de datos, minería de información, capacitación de modelos, desarrollo de funciones, pruebas y implementación. Comprensión sólida de conceptos estadísticos como prueba de hipótesis, análisis de regresión y métricas de evaluación del rendimiento para el aprendizaje automático. Capacidad para profundizar en componentes y sistemas individuales, así como comprender la arquitectura general de las soluciones de aprendizajes automáticos. Las siguientes distinciones describen las diferencias entre los beneficios Tubi y FOX: Para los empleados de Tubi no exentos en Estados Unidos, el resumen de los Beneficios del Empleado de FOX recoge con precisión el tiempo de vacaciones y enfermedad. Para todos los trabajadores asalariados/exemptos, en lugar de la política de Fox Vacation, Tubi ofrece una Política de Descanso a corto plazo para gestionar todos los asuntos personales. Con sede en San Francisco y fundada en 2014, Tubi es parte de Tubi Media Group, una división de Fox Corporation. Somos un empleador de igualdad de oportunidades y todos los solicitantes calificados recibirán consideración para el empleo sin tener en cuenta la raza, color, religión, sexo, origen nacional, identidad de género, discapacidad, estatus de veterano protegido o cualquier otra característica protegida por ley. Consideraremos para el trabajo a candidatos cualificados con antecedentes penales consistentes con la legislación aplicable. #J-18808-Ljbffr