Associate Machine Learning Engineer, Tubi

• Master’s 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
• GPA Requirement: Minimum 3.0 GPA

Desirable

• 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
• 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
• 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

• Application Deadline: 2/15/2026