Machine Learning Engineer, LIVE Recommendation - Singapore

3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Responsibilities Team Introduction: TikTok LIVE ecosystem team is dedicated to creating a pleasant ecosystem environment for all users and creators, pursuing the mission of LIVE 'to inspire interactive creations. Here, you can explore cutting-edge recommendation system technology, revamp the algorithm for ecosystem and business goals across the entire system, and collaborate with the most creative, imaginative, and mission-driven colleagues to continuously drive the evolution of the LIVE ecosystem. 1. Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning; 2. Understand product objectives and machine learning techniques; improve model and recommendation strategy; 3. Understand user behavior and apply ML algorithms to optimize content consumption and production experience; 4. Understand content security strategy and apply ML algorithms to improve content audit process; 5. Work with cross functional teams to grow ByteDance product in important regional markets. Qualifications Minimum Qualifications 1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience; 2. Solid experience with data structures or algorithms; 3. Software development experience through hands on coding in a general purpose programming language; 4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas; 5. Strong communication and teamwork skills; 6. Passion about technologies and solving challenging problems. 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. Seniority level Seniority level Associate Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TikTok by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Queenstown, Central Singapore Community Development Council, Singapore 4 months ago Machine Learning Engineer,Dedup (TikTok) - 2025 Start South East Community Development Council, Singapore 1 week ago Machine Learning Engineer, Dedup (TikTok) - 2025 Start Machine Learning Engineer, e-commerce (TikTok) - 2025 Start Machine Learning Engineer, TikTok Search - 2025 Start Machine Learning Engineer Intern (Core Recommendation-Dedup) -2025 Start South East Community Development Council, Singapore 1 week ago Machine Learning Engineer, Search E-Commerce - 2025 Start Machine Learning Researcher/ Applied Scientist Downtown Core, Central Singapore Community Development Council, Singapore 2 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Location: Singapore, Pedra Branca, SG

Posted Date: 7/4/2025