Backend Software Engineer, Search - USDS

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. . Data Security ( USDS ) is a subsidiary of TikTok in the .

This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep .

users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the TeamOur Search Team 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 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

• 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.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department.

We regularly review our hybrid work model, and the specific requirements may change at any time.

Minimum Qualifications

• BS degree in Computer Science, Computer Engineering, or other relevant majors
• At least 2+ years of 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. Candidates for this position must be legally authorized to work in the United States.

This position is not eligible for visa sponsorship or support.