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Engineer Graduate: (Machine Learning Engineer Graduate - Search E-Commerce BS​/MS

Job in Seattle, King County, Washington, 98127, USA
Listing for: TikTok
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Position: Engineer Graduate: (Machine Learning Engineer Graduate - Search E-Commerce) - 2026 Start (BS/MS)
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Join to apply for the Engineer Graduate: (Machine Learning Engineer Graduate - Search E-Commerce Start (BS/MS) role at Tik Tok

Responsibilities

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

Responsibilities

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Candidates who pass resume screening will be invited to participate in Tik Tok's technical online assessment.

Team Introduction:

The Search E-Commerce team spearheads the development of Tik Tok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly Tik Tok users worldwide.

Our mission is to create a world where "no reasonably priced product is difficult to sell."

Responsibilities:

• Improve the basic search quality and user experience:
Optimize query analysis and text relevance matching.

• Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products.

• Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

• Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row):
Improve users' personalized shopping interests model.

• Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.

• Promote the robust development of the ecosystem:
From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc.

• Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.
Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

• Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning.

• Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. 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.
Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $$annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary…
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