Machine Learning Engineer (Staff & Principal)

Tubitv; San Francisco (CA); Hybrid; USD 239,000 - 342,000; Full time

Benefits offered by this job

Flexible Time Off

Parental Leave Program

Monthly wellness reimbursement

Job summary

Tubitv is seeking an experienced Machine Learning Engineer to lead the design and implementation of innovative algorithms in video personalization. You will collaborate with cross-functional teams to deliver machine learning solutions that optimize recommendations and enhance user experience.

This role demands a strong background in machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch. Tubi offers a competitive salary and benefits package in high-cost labor markets like San Francisco.

Qualifications

• 8+ years of industry experience building production Machine Learning systems.
• Ability to design and implement advanced algorithms and systems.

Responsibilities

• Lead the design and implementation of advanced recommendation systems.
• Build and deploy ML pipelines for data extraction and model training.
• Monitor and optimize performance of deployed models.

Skills

Machine Learning

Deep Learning

TensorFlow

PyTorch

Statistical Analysis

Education

MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field

Tools

Full-stack ML pipelines

Job description

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

Your 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.

Pay range: Staff Level $239,000 — $342,000 USD; Principal Level $292,000 — $417,000 USD. The role is eligible for an annual discretionary bonus, long‑term incentive plan, and benefits including medical, dental, vision, insurance, 401(k), paid time off, and other benefits in accordance with applicable plan documents.

Bonus and benefits are commensurate with education, skills, experience, and location. High cost labor markets include Los Angeles, New York City, and San Francisco.

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, Tubi offers a Flexible Time off Policy. For all full‑time, regular employees, Tubi offers a generous Parental Leave Program and 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. 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.