{"id":1278703,"url":"https://alion.io/job/tiktok-software-engineer-intern-data-arch-e-commerce-2027-summer","title":"Software Engineer Intern (Data Arch - E-commerce) - 2027 Summer","company":{"id":47,"name":"TikTok","domain":"tiktok.com","url":"https://alion.io/company/tiktok","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"B","score":84,"open_postings":3457,"ghost_share":0.187,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":104,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Seattle, 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":[{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"HPC","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-07-31T06:58:29Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-11-08T06:21:21Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":100},"description":"岗位职责 / Responsibilities\nGlobal E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and large scale models.\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.\nOnline Assessment\nCandidates who pass resume screening will be invited to participate in Our Company's technical online assessment.\nResponsibilities:\nThis internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:\n- Build and maintain high performance online services for TikTok recommendation system.\n- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc.\n- Work with your mentor to build globalized large-scale recommendation system.\n- Design and develop high performance computing frameworks and storage systems.\n任职要求 / Requirements\nMinimum Qualifications:\n- Must be able to commit to a 12-week full-time work period during Summer 2027\n- Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.\n- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang.\n- Effective communication skills and a sense of ownership and drive.\nPreferred Qualifications:\n- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.\n- Demonstrated experience in one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.\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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