{"id":1291284,"url":"https://alion.io/job/tiktok-machine-learning-engineer-tiktok-e-commerce","title":"Machine Learning Engineer - TikTok E-Commerce","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":75,"open_postings":1625,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"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":87000,"max_usd":177000,"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":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2022-02-24T09:52:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T22:09:28Z","board_verified":false,"closed_at":null,"days_open":1677,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":1676},"description":"岗位职责 / Responsibilities\nThe E-Commerce Risk Control (ECRC) team is missioned: \n- To protect TikTok E-Commerce users, including and beyond buyer, seller, creator;\n- By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;\n- Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.\nThe ECRC team works to minimize the damage of inauthentic behaviors on TikTok E-Commerce platforms (e.g. TikTok Shop, Jumanji, Fanno), covering multiple classical and novel community and business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.\nIn this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.\nResponsibilities\n- Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to account integrity, scapler, deal-hunter, malicious activities, brushing, click-farm, information leakage etc.\n- Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.\n- Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.\n- Support the production of scalable and optimised AI/machine learning (ML) models \n- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models. \n- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.\n任职要求 / Requirements\nMinimum Qualifications\n- Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles).\n- At least 5 years with solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.\nPreferred Qualifications\n- Familiarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications.\n- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.","description_format":"text","description_chars":3087,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T07:50:22Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.179,"p_room":0.28,"age_days":1676,"expected_fill_days":31,"reasons":["conf:31","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-machine-learning-engineer-tiktok-e-commerce","json_url":"https://alion.io/job/tiktok-machine-learning-engineer-tiktok-e-commerce.json","meta":{"generated_at":"2026-09-29T03:08:11Z","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":2830,"day_limit":5000,"remaining_today":2170,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}