Software Engineer (Java, Python)

About The Company Tubi is a leading free streaming service that provides entertainment to over 100 million monthly active users worldwide. Established in 2014 and headquartered in San Francisco, Tubi offers the world's largest collection of Hollywood movies, TV shows, creator-led stories, and original content designed for passionate fans. As part of Tubi Media Group, a division of Fox Corporation, the company is committed to delivering high-quality, accessible entertainment across various devices and platforms. Tubi values innovation, diversity, and inclusion, fostering a dynamic environment where talented professionals can thrive and contribute to redefining the streaming experience. About The Role As a Staff Software Engineer specializing in ML Infrastructure & Distributed Systems, you will play a pivotal role in shaping the future of Tubi’s machine learning capabilities. Collaborating closely with Machine Learning and Product teams, you will develop and enhance scalable inference platforms that power essential services such as personalized recommendations, search functionalities, and content understanding. Your expertise will be instrumental in designing low-latency, high-throughput distributed systems using modern backend technologies, primarily focusing on building robust infrastructure components like inference engines, feature stores, vector stores, and experimentation engines. This role offers the opportunity to lead critical cross-functional projects, explore innovative frameworks, and contribute to open-source initiatives. You will have the architectural freedom to experiment and implement solutions that significantly improve deployment, operation, and scalability of ML services, ultimately transforming how ML and Product teams deliver value to users. The position is available in San Francisco, Los Angeles, New York (Hybrid), or remote within the USA, providing flexibility for the right candidate. Qualifications Proven experience designing and building scalable, distributed systems in modern backend languages such as Scala, Java, Python, Go, or C++Strong experience with cloud platforms, particularly AWS or equivalentHands-on experience developing online microservices with low latency at scaleProficiency with SQL (e.g., Postgres) and NoSQL databases (e.g., Cassandra), message brokers (e.g., Kafka), and caching solutions (e.g., Redis)Experience with containerization technologies such as Docker and KubernetesDemonstrated ability to lead incident response and resolution for large-scale systemsExcellent understanding of system design, performance optimization, and cost managementStrong mentoring skills and experience guiding engineering teams on best practices Responsibilities Design and implement scalable, high-throughput, low-latency distributed systems using Scala and other relevant technologiesCreate reusable components and services supporting various ML applications including personalization, search, ads, and explorationCollaborate with ML engineers to understand their challenges and develop scalable, innovative solutions to enhance ML inference infrastructureProactively identify opportunities for optimization in latency, cost, and system efficiency through data-driven analysisLead large-scale cross-functional refactoring efforts to improve system robustness and performanceMentor team members on system architecture, incident management, and leveraging emerging ML techniques such as large language modelsPartner with cross-functional teams to define the long-term vision and architecture for ML infrastructure at TubiContribute to open-source projects and stay abreast of industry best practices to continually improve infrastructure capabilities Benefits Competitive salary and comprehensive health insurance plansFlexible work hours and remote work options within the USAGenerous paid time off and holiday policiesOpportunities for professional growth and development through training, conferences, and mentorship programsInclusive and collaborative work environment fostering innovation and diversityAccess to cutting-edge tools and technologies in machine learning and distributed systems Equal Opportunity Tubi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 also consider qualified applicants with criminal histories in accordance with applicable laws and regulations.