Machine Learning Engineer Graduate (Recommendation) - 2027 Start (Phd)

About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​ We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion​ TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Responsibilities About the TikTok Data TeamOur TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities - Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning; - Understand product objectives and machine learning techniques; improve model and recommendation strategy; - Understand user behavior and apply ML algorithms to optimize content consumption and production experience; - Understand content security strategy and apply ML algorithms to improve content audit process; - Work with cross functional teams to grow company's product in important regional markets. Qualifications Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in computer science or a related discipline. - Solid experience with data structures or algorithms - Software development experience through hands on coding in a general purpose programming language - Strong communication and teamwork skills - Passion about technologies and solving challenging problems Preferred Qualification: - Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas