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Mia Li  (she/her)

Mia Li (she/her)

Hiring SWE/MLE for TikTok Search

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo. 

The Search Team at TikTok is responsible for building and owning TikTok’s search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a scalable full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities – What You’II Do

• Optimize the searching quality to provide TikTok’s users the best search experience

• Combine your understanding of product objectives and take full advantage of modern machine learning and information retrieval techniques to improve search quality and perception

• Build the core systems and algorithms development including query understanding, result ranking, query recommendation, system reliability, and etc.

• Potentially mentor and lead peers depending on experience

Qualifications – Who We’re Looking For

• BS degree in Computer Science, Computer Engineering, or other relevant majors

• 3+ years of industry experience in developing and implementing large-scale consumer-facing services/products and/or building backend services for large-scale consumer-facing applications

• Proficiency in the following languages but not limited to: C/C++, Python, Java or Golang

• Effective team communication and collaboration skills.

Preferred Qualifications

• Working knowledge in one of the following or similar domains: search, recommendation, ranking, ads, etc.

• Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack

• Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.

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 believe individuals shouldn’t be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at usrc@tiktok.com.

  • Not Applicable

  • Full-time

  • Engineering and Information Technology

  • Internet

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