Machine Learning Engineer Graduate (Data-Search-Recommendation TikTok.US - Seattle) - 2026 Star[...]

Machine Learning Engineer Graduate (Data-Search-Recommendation TikTok.US - Seattle) - 2026 Start (BS/MS) Location: Seattle Employment Type: Regular Job Code: A28324 Responsibilities Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting‑edge NLP and CV technology 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, enabling TikTok search to increase the ability of personalization on the basis of relevance, and better understanding users. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and the social network, improving the authority, credibility, and usefulness of search results. Qualifications Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Proficient coding skills and strong foundation in algorithms and data structures. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, ranking, ads, search engine, recommender systems, distributed systems, and machine learning. Commitment Must be able to commit to an onboarding date by the end of year 2026. Please state your availability and graduation date clearly in your résumé. Job Information Base salary range for this position in Seattle is $124,717 – $243,200 annually. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location. Base pay is a component of the total package and may include additional discretionary bonuses, incentives, and restricted stock units. Benefits Employees receive comprehensive benefits including 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; 10 paid holidays; 10 paid sick days; and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure). EEO & Criminal‑Background 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 and the California Fair Chance Act. The following job duties may be considered related to criminal history and could result in withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal or 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. By submitting an application for this role, you accept and agree to our global applicant privacy policy. Privacy policy: #J-18808-Ljbffr Ellis Technologies, Inc.