Machine Learning Engineer, Search Recommendation (E-Commerce) (Bytedance Singapore)

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​ As ByteDancers, 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. 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​ ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.​ Job highlights Positive team atmosphere, Career growth opportunity, 100+ mil users, Competitive compensation Responsibilities About the team The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active users worldwide. Responsibilities - Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, while enhancing user search and purchasing cognition. - Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. - Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology. Qualifications Minimum Qualifications - Bachelor or advanced degree in computer science or a related technical discipline. - Excellent coding skills. Solid knowledge of data structure and algorithms. - Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. - Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus. Preferred Qualifications - Good product sense with a focus on user experience. - Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.