Senior Machine Learning Engineer

4 weeks ago


San Jose, California, United States TikTok Full time
About TikTok

TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to its users. Our global headquarters are in Los Angeles and Singapore, with offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. We believe that creation is at the core of our purpose, and our platform is designed to help imaginations thrive.

The Search Growth E-commerce Team

We are at the forefront of developing the search recommendation algorithm for TikTok's 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 TikTok users worldwide.

Responsibilities
  1. Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
  2. 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.
  3. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
  4. Provide guidance and mentorship to fellow teammates.
Qualifications

We are looking for a highly skilled and experienced machine learning engineer to join our team. The ideal candidate will have a strong background in machine learning, with a focus on search and recommendation systems. They will also have excellent coding skills, solid knowledge of data structures and algorithms, and excellent analytical and problem-solving skills.

Preferred qualifications include 5+ years of work experience in machine learning, good product sense with a focus on user experience, and domain knowledge or working experience in areas such as modern recommendation, search, advertisement, and e-commerce.

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. We are passionate about this and hope you are too.



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