Machine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2026 Start (PhD)

Machine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2026 Start (PhD) Location: Seattle Employment Type: Regular Job Code: A87532 Responsibilities Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure. Improve the search experience in local services and promote ecosystem growth. Utilize large‑scale machine learning techniques in search and recommendation scenarios with billions of users to improve user shopping experiences and enhance conversion efficiency. Design and implement local services search algorithms across the full stack, including query analysis, relevance, recall, coarse ranking, fine ranking, blended ranking, personalized behavior modeling for relevance computation, CTR prediction, CVR prediction, vector recall, and value blending. Minimum Qualifications Excellent analytical and problem‑solving skills. Strong foundation in machine learning and deep learning, with experience in NLP and Personalization. Exceptional coding skills with solid knowledge of data structures and algorithms. Proficiency in Linux development environments. Completion or recent completion of a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Preferred Qualifications Prior experience in search, recommendation, or advertisement algorithms. Familiarity with local life services and e‑commerce businesses. Job Information The base salary range for this position in Seattle is $148,200 – $300,960 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 Employees have day‑one access to medical, dental, and vision insurance; a 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure). The company reserves the right to modify or change these benefits programs at any time, with or without notice. Equal Employment Opportunity Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse, and negative relationship with certain job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; Exercising sound judgment. #J-18808-Ljbffr Ellis Technologies, Inc.