Associate Machine Learning Engineer

About the Role:

The Tubi Builders Program is designed for early-career professionals in Product Engineering Machine Learning Design and Data Science who are passionate about building products that impact millions of users. Over the course of the program participants will rotate through different machine learning teams - such as user recommendations and ranking content understanding and search ranking - to develop a well-rounded technical foundation. Builders gain hands-on experience across multiple areas of machine learning engineering teams in a fast-paced tech environment.

As a associate machine learning engineer you will contribute to real-world projects solve complex technical challenges and collaborate with experienced engineers product managers and data scientists.

This program is ideal for candidates who are curious adaptable and excited to work across multiple machine learning and artificial intelligence domains while developing expertise in cutting-edge technology.

What Youll Do:

Throughout the program you will:

• Rotate across three machine learning engineering teams gaining exposure to different technical disciplines
• Build and deploy high-impact robust ML pipelines including data extraction feature development model training testing and deployment
• Ship production ML systems and features that impact millions of real users
• Leverage cutting-edge AI technologies to build technical solutions at scale
• Define success metrics and evaluate impact via offline and online experiments
• Monitor evaluate and optimize the performance of deployed models
• 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
• Participate in mentorship technical training and networking events throughout the program
• Engage in engineering-wide initiatives to improve processes and technical standards

Qualifications:

Minimum Requirements:

• Masters or PhD degree in Computer Science or a related field with emphasis on Machine Learning
• Strong coding proficiency in at least one programming language (e.g. Python Java C Go)
• Solid understanding of computer science fundamentals algorithms and system design
• Demonstrated understanding and interest in machine learning engineering
• Passion for problem-solving collaboration and building scalable systems
• Strong communication skills and ability to work in a team-oriented environment

Preferred Qualifications:

• Work Experience: Up to three years of combined professional experience including internships
• Professional experience (e.g. internship research assistantship or work experience) in some software engineering areas (infrastructure machine learning or front-end development)
• Familiarity with cloud platforms (AWS GCP Azure) and DevOps tools.
• Experience with machine learning
• Demonstrated curiosity and interest in an engineering area through research past jobs open-source contributions or side projects

Program Eligibility Requirements:

• GPA Requirement: Minimum 3.0 GPA
• Application Deadline: 2/15/2026
• Program Timeline: Minimum 18 month commitment starting Aug 2026 after which successful participants will have the opportunity to transition into non-rotational full-time roles
• Work Schedule: Full-time hybrid in San Francisco with office day requirements
• Work Authorization: Must have U.S. work authorization; we are unable to sponsor visas for this program.
• Committed and available to work for the entire 18 month length of the program

About the Program:

Our Machine Learning Engineering Rotational Program is structured to accelerate the careers of early-stage engineers by providing them with hands-on experience in multiple technical domains. Through structured rotations mentorship and targeted development participants will gain technical depth and breadth preparing them for a non-rotational engineering role.

By the end of the program you will:

• Have experience across multiple machine learning engineering disciplines.
• Develop technical and leadership skills.
• Build a strong professional network within the organization.

#LI-Hybrid #LI-CN1

Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee following distinctions below outline the differences between the Tubi and FOXbenefits:

• 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 FOXs 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 worlds 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.