{"id":1278354,"url":"https://alion.io/job/tiktok-backend-engineer-aml-engine-orchestration","title":"Backend Engineer , AML Engine Orchestration","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":1620,"ghost_share":0,"stale_share":0.44,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","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":66000,"max_usd":139000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Go","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Flink","optional":true},{"name":"Ray","optional":true},{"name":"Spark","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2025-08-26T02:28:26Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-06T21:56:46Z","board_verified":true,"closed_at":null,"days_open":406,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":406},"description":"岗位职责 / Responsibilities\nTeam Introduction\nThe mission of our AML team is to push next-generation machine learning algorithms and platforms for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact on core businesses of the company.\nResponsibilities:\n1. Resource Efficiency Optimization in Distributed Orchestration and Scheduling：\n- Develop and extend distributed orchestration frameworks within the Kubernetes/Godel ecosystem. Select appropriate frameworks based on different business scenarios, and optimize cluster utilization and load balancing strategies according to the specific characteristics of each scenario;\n- Integrate and expand AutoScaling and automatic parallelization capabilities for various models and tasks. Employ load modeling and analytic methods for different models to automatically optimize resource requests, achieving large-scale improvements in resource usage efficiency and global optimality;\n- Responsible for preemption and re-scheduling mechanisms for services with different prioritties, and manage automatic resource multiplexing across different clusters and resource types; handle scheduling and load adaptation across multi-datacenter, multi-region, and multi-cloud environments.\n2. Building Training System Architecture for Next-Generation Ultra-Large and Ultra-Deep Recommendation Models:\n- Develop a flexible, elastic and robust distributed training runtime focused on hyper-scaled embeddings and large-scale GPU training;\n- Design and optimize distributed computing APIs and runtimes geared towards future recommendation and ads model paradigms (e.g., reinforcement learning, fine-tuning and/or distillation);\n- Collaborate with platform teams to enhance the diagnosability and usability of distributed training systems.\n3. Constructing Online Orchestration Architecture for Next-Generation Recommendation Systems:\n- Build a robust distributed model inference architecture for online learning scenarios involving hyper-scaled embeddings;\n- Optimize the usability of online recommendation and ads model architectures and MLops workflows.\n任职要求 / Requirements\nMinimum Qualifications\n- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.\n- Strong programming and coding experience with at least one modern language such as Golang, Python.\n- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling).\n- Strong analytical abilities and problem solving.\n- Good communication, self-motivation, engineering practice, documentation, etc.\n- At least 3 years of relevant experience.\nPreferred Qualifications\n- Familiar with large-scale distributed scheduling systems like Kubernetes, Yarn, Flink and/or Spark\n- Familiar with opensourced orchestration frameworks like VeRL, vLLM, Ray or TFX, etc.","description_format":"text","description_chars":2882,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Media & Entertainment","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T02:19:31Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.347,"p_room":0.28,"age_days":406,"expected_fill_days":93,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-backend-engineer-aml-engine-orchestration","json_url":"https://alion.io/job/tiktok-backend-engineer-aml-engine-orchestration.json","meta":{"generated_at":"2026-10-06T23:03:42Z","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","counted_by":"address","units_charged":1,"used_today":3998,"day_limit":5000,"remaining_today":1002,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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-backend-engineer-aml-engine-orchestration"},{"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-backend-engineer-aml-engine-orchestration"},{"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-backend-engineer-aml-engine-orchestration"},{"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-backend-engineer-aml-engine-orchestration\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftiktok-backend-engineer-aml-engine-orchestration"}]}