{"id":1309602,"url":"https://alion.io/job/tiktok-machine-learning-engineer-data-mining-tiktok-shop","title":"Machine Learning Engineer (Data Mining) - TikTok Shop","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":1648,"ghost_share":0,"stale_share":0.432,"repost_share":0,"time_to_fill_p50_days":92,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":180000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-08-27T07:38:03Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-01T12:03:32Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"岗位职责 / Responsibilities\nAbout The Team\nThe e-Commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.\nWith millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.\nResponsibilities\n- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.\n- Data mining for e-commerce, building tagging system based on massive data, analysing user, traffic, e-commerce and other data, combining with business to improve GMV.\n- Data analysis, mining, model specific productization; understanding of e-commerce business, able to work with PM to continuously optimize data products based on data-driven.\n- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.\n- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.\n- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.\n任职要求 / Requirements\nMinimum Qualifications\n- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.\n- 5 years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.\n- Familiar with one of the Python/Java/Go/C++ programming languages.\n- Familiar with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink), with demonstrable coding skills.\n- Familiar with common data mining techniques and machine learning algorithms (GBDT, Xgboost, FM, DFM, etc.), and familiar with their principles and scope of application.\n- Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch).\nPreferred Qualifications\n- Continuous learning, keeping up with the latest research directions and results in the field of machine learning, for the exploration of big data applications in various vertical areas.\n- In-depth research experience in analysis and mining of user behaviour data and construction of user portraits. \n- Data mining experience in vertical industries (e-commerce, finance, games, travel, real estate, etc.). \n- Development and optimisation of advertising and recommendation algorithms.","description_format":"text","description_chars":2960,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Social Commerce","Commerce","Advertising","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T15:19:45Z"}],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.844,"p_room":0.9,"age_days":34,"expected_fill_days":92,"reasons":["conf:4","velocity","win:mid","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-machine-learning-engineer-data-mining-tiktok-shop","json_url":"https://alion.io/job/tiktok-machine-learning-engineer-data-mining-tiktok-shop.json","meta":{"generated_at":"2026-10-01T15:43:29Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-02T00:00:00Z"}}}