{"id":1236301,"url":"https://alion.io/job/tiktok-machine-learning-software-engineer-llm-agentic-ai-tiktok-content-ecology-local-services","title":"Machine Learning Software Engineer (LLM & Agentic AI - TikTok - Content Ecology Local Services)","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":3443,"ghost_share":0.198,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":216000,"max_usd":480000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-08-19T22:57:10Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-03T10:06:22Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":75},"description":"岗位职责 / Responsibilities\nAbout the Team\nThe Content Ecology Algorithm Team drives TikTok's AI innovations in LLMs/MLLMs, NLP, Computer Vision, Multimodal learning, Agentic AI, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines.\nYou will tackle unique algorithm challenges in building products for a global audience. Our platform's diverse content and worldwide user base create a wealth of opportunities for AI applications. With rapidly growing businesses such as TikTok Local Services, you'll have the chance to bring cutting-edge AI innovations into real-world production.\nResponsibilities\n- Drive the research and development of core algorithms for TikTok Local Services, leveraging LLMs/MLLMs, Agentic AI, NLP, Computer Vision, conversion modeling, global optimization, and causal uplift modeling. \n- Develop deep semantic representations and structured models of content, products, and user intent, while building foundational capabilities across product knowledge graphs, intent understanding, and end-to-end intelligent transaction optimization. \n- Continuously enhance both supply- and demand-side experiences to drive sustainable growth in transaction conversion.\n- Tackle frontier technical challenges unique to local services, including multilingual and multimodal understanding, highly dynamic environments, and long-horizon sequential decision-making. \n- Stay at the forefront of research, translate state-of-the-art advances into production-grade solutions, scale proven innovations, and establish reusable algorithmic foundations with broad applicability.\n任职要求 / Requirements\nMinimum Qualifications\n- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or a related technical field.\n- Strong foundations in machine learning and deep learning, with a solid understanding of Transformer architectures, LLMs, multimodal large language models, and modern representation learning techniques.\n- Experience in one or more relevant areas, such as NLP, computer vision, multimodal understanding, AI agents, knowledge graphs, retrieval and recommendation, conversion modeling, causal uplift modeling, or decision optimization.\n- Hands-on experience with Python, PyTorch, distributed model training, and large-scale data processing, with strong algorithmic, software engineering, and production deployment capabilities.\n- Proven ability to formulate and solve complex, ambiguous problems, translate research advances into scalable production solutions, and deliver measurable business impact.\n- Strong cross-functional collaboration and communication skills, with a track record of driving technically complex projects to high-quality execution.\nPreferred Qualifications:\n- Experience building large-scale machine learning systems for e-commerce, recommendation, search, advertising, marketplaces or other transaction-oriented products.\n- Experience working with multilingual, multimodal, or highly dynamic data and deploying models in large-scale production environments.\n- Publications at leading conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, RecSys, AAAI, Interspeech, or ICASSP.\n- Demonstrated technical leadership through driving cross-functional initiatives, establishing reusable algorithmic capabilities, or mentoring engineers and 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