Machine Learning Engineer

About TikTokTikTok 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 UsInspiring 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 & InclusionTikTok 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.Job highlightsPositive team atmosphere, Career growth opportunity, 100+ mil users, Meal allowance, Competitive compensationResponsibilitiesAbout the teamThe Search team is mainly responsible for the search algorithm innovation and architecture research and development of Douyin, international short video, Jinri Toutiao, Watermelon video and other products, as well as e-commerce, life services and other businesses. We use cutting-edge machine learning technology for end-to-end modeling and continuous innovation and breakthroughs, while focusing on the construction and performance optimization of distributed systems and machine learning systems.Department work:1. Participate in the research and development of international short video search engines, using cutting-edge machine learning algorithms and massive data to make the most exciting technologies and give users the best search experience;2. Participate in the improvement of international short video search algorithms. Optional directions include:(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges;(3) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.;(4) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better;(5) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.QualificationsMinimum Qualifications- Bachelor or advanced degree in computer science or a related technical discipline.- At least 3 years of experience in: Search, Risk Control or NLP- 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.Preferred Qualifications- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.