{"id":1236818,"url":"https://alion.io/job/tiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start","title":"Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start","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":3414,"ghost_share":0.206,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","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":46000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":419},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Post-training","optional":true},{"name":"Pre-training","optional":true}],"status":"live","first_seen_at":"2026-07-28T23:50:06Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-13T21:35:22Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":76},"description":"岗位职责 / Responsibilities\nAbout the Team \nThe E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from retrieval and ranking to re-ranking, and driving a comprehensive upgrade in intelligence and generative capability.\nWe believe the future of recommendation systems goes beyond predicting click-through rates - it lies in understanding the relationship between people and content, and in generating new connections. The team is exploring an event-sequence-driven generative recommendation paradigm, deeply integrating large language models (LLMs), multimodal understanding, reinforcement learning, and system optimization to advance recommendation systems toward general-purpose intelligent agents.\nWe value original exploration and encourage both research thinking and engineering excellence. Every team member is empowered to propose hypotheses and validate ideas in an open environment - your code and papers may help define the next paradigm of recommendation systems. We seek individuals with a general intelligence mindset to join us in redefining the future of recommendation.\nWe are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.\nSuccessful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.\nCandidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.\nResponsibilities\n- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.\n- Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities.\n- Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design.\n- Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.\n- Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.\n任职要求 / Requirements\nMinimum Qualifications\n- Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.\n- Solid theoretical foundation in machine learning, deep learning, or information retrieval.\n- Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch).\n- Strong passion for intelligent recommendation systems and a self-driven research mindset.\nPreferred Qualifications\n- Experience in large-scale recommendation system development or large-model training, with notable technical achievements in a sub-area.\n- Research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation.\n- Familiarity with pre-training and post-training processes for large language models (LLMs) or Foundation Models.","description_format":"text","description_chars":3509,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-25T16:14:42Z"}],"visa":[],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.717,"p_room":0.6,"age_days":76,"expected_fill_days":93,"reasons":["conf:2","velocity","win:late","crowd:junior,brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start","json_url":"https://alion.io/job/tiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start.json","meta":{"generated_at":"2026-10-14T00:39:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":872,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":47},"rest":"https://alion.io/mcp/rest/get_company?id=47"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftiktok-large-recommendation-model-algorithm-engineer-graduate-global-e-commerce-2027-start"}]}