{"id":1291552,"url":"https://alion.io/job/tiktok-tech-lead-machine-learning-engineer-agent-multi-agent-systems-aigc-risk-intelligence","title":"Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence","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":1632,"ghost_share":0,"stale_share":0.435,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-02T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":null,"salary_estimate":{"min_usd":235000,"max_usd":498000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":483},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-03-03T00:09:19Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-02T15:27:36Z","board_verified":true,"closed_at":null,"days_open":214,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":213},"description":"岗位职责 / Responsibilities\nOur team is building the next generation of AI-native risk intelligence systems to address emerging challenges driven by large-scale AIGC content production.\nAs content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient. We are transitioning from monolithic LLM applications to a structured multi-agent architecture that emphasizes:\nTool-augmented reasoning (ReAct-style systems)\nModular skill composition\nExecution traceability and observability\nFeedback-driven system evolution\nCross-domain risk reasoning\nWe are seeking an experienced technical leader to define and implement this architecture.\nResponsibilities\n- Architect and Implement Agent Systems\nDesign structured agent workflows (e.g., Evaluate → Validate → Reflect → Summarize)\nImplement ReAct-style tool allocation and reasoning frameworks\nDevelop short-term and long-term memory architectures\nEnsure robustness under adversarial and evolving conditions\n- Lead Multi-Agent Architecture Development\nDesign orchestration layers for coordinating vertical domain agents\nBuild modular Skill systems for extensibility and reuse\nDefine execution graph standards and planning abstractions\nEstablish traceability mechanisms for debugging and auditability\n- Develop Open Risk Detection Capabilities\nArchitect systems capable of identifying previously unseen risk patterns\nImplement execution trace-driven optimization loops\nTranslate feedback signals (FP/FN, reviewer overrides, drift signals) into system improvements\nEnable proactive rather than purely reactive detection systems\n- Establish Engineering Standards for Agent Systems\nDefine traceability, observability, and guardrail requirements\nEvaluate and integrate multi-agent frameworks where appropriate\nEnsure production-readiness, scalability, and reliability\n- Provide Technical Leadership\nOwn the technical roadmap for Agent and multi-agent systems\nPartner cross-functionally with Risk, Safety, Infra, and ML teams\nMentor engineers and drive architectural rigor\n任职要求 / Requirements\nMinimum Qualifications\n- 5+ years of experience in software engineering or applied AI systems\n- Deep understanding of LLM-based agent architectures (ReAct-style reasoning/Tool calling systems/Workflow orchestration/Memory design patterns)\n- Experience designing distributed or modular AI systems\n- Strong backend engineering skills (Python or equivalent)\n- Experience operating systems in adversarial or high-stakes environments\nPreferred Qualifications\n- Experience in trust & safety, risk detection, or adversarial ML\n- Familiarity with multi-agent orchestration frameworks\n- Experience building systems with execution trace logging and observability\n- Background in RL-style policy optimization or iterative system refinement\n- Demonstrated experience leading high-impact technical initiatives","description_format":"text","description_chars":2976,"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":["Media & Entertainment","Advertising","Social Commerce","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T07:50:22Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.639,"p_room":0.28,"age_days":213,"expected_fill_days":93,"reasons":["conf:4","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tiktok-tech-lead-machine-learning-engineer-agent-multi-agent-systems-aigc-risk-intelligence","json_url":"https://alion.io/job/tiktok-tech-lead-machine-learning-engineer-agent-multi-agent-systems-aigc-risk-intelligence.json","meta":{"generated_at":"2026-10-03T03:37:35Z","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":3617,"day_limit":5000,"remaining_today":1383,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}