{"id":1309543,"url":"https://alion.io/job/tiktok-senior-machine-learning-engineer-global-e-commerce-recommendation-multiple-positions","title":"Senior Machine Learning Engineer, Global E-Commerce – Recommendation (Multiple Positions)","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":83,"open_postings":3416,"ghost_share":0.203,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":95,"computed_at":"2026-10-14T06:34:16Z"}},"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":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":241680,"max":456000,"currency":"USD","period":"year","gross":null,"usd_annual":456000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-09-08T20:00:28Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-14T10:41:02Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":35},"description":"岗位职责 / Responsibilities\nAbout TikTok\nTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.\nTikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.\nWhy Join Us\nInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. \nTogether, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. \nWe strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. \nEvery challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. \nBy constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. \nWhen we create and grow together, the possibilities are limitless. \nJoin us.\nAbout the Team\nOur team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! \nResponsibilities\nDesign, develop, and optimize the advanced recommendation systems that power the global e-commerce ecosystem.\nBalance user experience, ecosystem health, and business objectives through algorithmic solutions to build a healthy, sustainable e-commerce content ecosystem.\nFormulate real-world user data modeling in statistical learning problems.\nDesign and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.\nResearch and design ML models to optimize systems, features, algorithms, and product strategies.\nCollaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint.\nMentor junior Machine Learning Engineers and interns.\n任职要求 / Requirements\nQualifications\nMust have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor’s, progressive related work experience.\nOf the required experience, must have 2 years of experience in each of the following:\nCoding using Python or C++;\nOptimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;\nDeveloping code and identifying issues in Linux environment;\nDeveloping data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; and\nUtilizing Big data framework Spark, Hadoop, or Flink.\nTravel Requirement: International travel required up to 25%.\nType: Full time, 40 hours/week\nLocation: Bellevue, WA\nSalary Range: $241680 - $456000 per year\nTo Apply, click the apply button below. Contact  if you have difficulty submitting resume through the website.\nTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.\nTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. 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