Associate Machine Learning Engineer, Tubi

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

• Our Tubi Builders Machine Learning Engineering 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 full-time engineering roles
• The Rotational Program - Machine Learning Track is designed for early-career engineers and recent college graduates looking to gain hands-on experience across multiple areas of machine learning engineering teams in a fast-paced tech environment
• 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
• As an 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
• By the end of the program, participants will have the opportunity to transition into a full-time machine learning engineering role, equipped with the experience and skills to drive innovation
• Rotate across three machine learning engineering teams, gaining exposure to different technical disciplines
• Design, develop, and optimize scalable systems, infrastructure, and applications
• Work with programming languages such as Python, Java, C++, or Go
• Apply computer science fundamentals in data structures, algorithms, machine learning, recommender systems and system design
• Debug, troubleshoot, and improve system performance and reliability
• Collaborate with cross-functional teams to launch and improve products
• Gain experience in cloud computing, DevOps, CI/CD pipelines, and distributed systems
• 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 2025, after which successful participants will have the opportunity to transition into full-time roles

• Application Deadline: 3/11/2025