Machine Learning Engineer Graduate (TikTok-Data-Search-Recommendation-Global E-Commerce) - 2027 Start

About the role

Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you'll have the opportunity to build 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. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Responsibilities

This full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to:

• Participate in the improvement of the search core algorithm, possible directions include:
  • Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
  • User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better.
  • Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.
  • Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Statistics, Mathematics, or a related technical discipline.
• Experience with at least one programming language such as Python, Java, C++, Go, or JavaScript through coursework, internships, projects, or equivalent practical experience.

Preferred Qualifications

• Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, data mining, or backend systems.
• Familiarity with distributed systems, databases, data pipelines, online experimentation, or large-scale service development.
• Experience using data or metrics to debug, evaluate, or improve a product or system.
• Strong problem-solving, communication, and collaboration skills.
• Interest in building Search products and systems for a large-scale consumer platform.

Pay

The base salary range for this position in the selected city is $121,600 - $243,200 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 bonuses/incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)