{"id":1316303,"url":"https://alion.io/job/tiktok-machine-learning-engineer-feed-e-commerce-singapore","title":"Machine Learning Engineer - Feed E-Commerce - Singapore","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":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2025-06-26T09:54:08Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T22:09:28Z","board_verified":true,"closed_at":null,"days_open":457,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":457},"description":"岗位职责 / Responsibilities\nTeam Intro\nWe Are the TikTok ROW E-commerce Short Video&Live Recommendation Team. As pioneers reshaping global shopping experiences, we specialize in end-to-end optimization of short video recommendation systems across Europe, Southeast Asia, and Latin America. Our mission spans the full recommendation pipeline - from content supply, candidate retrieval, pre-ranking, ranking, blending to user experience refinement - building a culture-adaptive recommendation engine for TikTok's diverse markets.\nBreaking through traditional \"product shelf\" e-commerce paradigms, we reinvent recommendation systems for the short video era. Our team combines academic excellence from top global universities with industrial expertise in billion-DAU recommendation systems. By leveraging cutting-edge machine learning technologies, we create dynamic intelligent matching bridges between massive product catalogs and global users.\nWe are committed to providing a personalized, proactive, and efficient consumption experience for users through live-stream e-commerce content by connecting them with exceptional sellers and high-quality products.\nOur team is responsible for developing innovative recommendation algorithms and techniques to enhance user engagement and satisfaction, effectively transforming creative ideas into business-impacting solutions.\nResponsibilities:\n- Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams.\n- Understand ecosystem of e-commerce content and use algorithm and strategy to make it thrive.\n- Work with product and ops team to deliver features that drives growth of e-commerce content on TikTok.\n- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning\n任职要求 / Requirements\nMinimum Qualifications\n1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;\n2. Solid experience with data structures and algorithms;\n3. Software development experience through hands on coding in a general purpose programming language;\n4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;\n5. Strong communication and teamwork skills;\n6. Passion about technologies and solving challenging problems.\nPreferred Qualification:\nPreferred to have more than 3 years experience in the recommendation algorithm domain.","description_format":"text","description_chars":2545,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T18:40:58Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.092,"p_room":0.28,"age_days":457,"expected_fill_days":20,"reasons":["conf:7","win:tail","crowd:junior,brand"],"computed_at":"2026-09-27T05:30:32Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-machine-learning-engineer-feed-e-commerce-singapore","json_url":"https://alion.io/job/tiktok-machine-learning-engineer-feed-e-commerce-singapore.json","meta":{"generated_at":"2026-09-27T05:30:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4828,"day_limit":5000,"remaining_today":172,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}