{"id":4150974,"url":"https://alion.io/job/tiktok-software-engineer-intern-tiktok-search-2027-start","title":"Software Engineer - Intern (TikTok Search) - 2027 Start","company":{"id":47,"name":"TikTok","domain":"tiktok.com","url":"https://alion.io/company/tiktok","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"B","score":84,"open_postings":3445,"ghost_share":0.188,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":103,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-05T14:45:01Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-15T00:19:09Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":8},"description":"岗位职责 / Responsibilities\nThe TikTok Engineering Search team builds the product capabilities and infrastructure behind search on TikTok, helping users discover relevant content as their interests, intent, and trends change. We develop the key features of TikTok Search and the platform underneath them, supporting fast product iteration at multi-billion-user scale.\nSearch at this scale is a moving target. What users look for changes constantly, and so does how they search for it, so the systems have to keep pace.\nYou will solve large-scale search challenges for a diverse global audience, shaping how billions of people find timely, useful content on TikTok.\nProgram Intern (Conversion-Oriented): for graduating students who are looking for full-time conversion as the primary objective.\nWe are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.\nInterns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.\nCandidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.\nApplications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.\nResponsibilities: \n- Assist in improving TikTok Search features to support product growth and user experience.\n- Optimize system performance and enhance service stability for a robust Search platform.\n- Contribute to maintaining efficient Search architecture and offline data processing systems.\n任职要求 / Requirements\nMinimum Qualifications: \n- Currently pursuing a Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline.. \n- Proficient in coding, data structures, and algorithms. Excellent communication and teamwork abilities.\n- Strong problem-solving and analytical skills with a passion for backend services development. \n- Able to leverage AI coding tools and AI-assisted workflows to improve development efficiency, debug issues, and solve engineering problems.\nPreferred Qualifications: \n- Hands-on experience or coursework related to backend services for large-scale applications. \n- Familiarity with modern Search systems or interest in how Search products evolve.\n- Understanding of AI infrastructure development and operations, such as model serving, evaluation, observability, reliability, or large-scale online/offline systems.\nBy submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: 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