{"id":2027395,"url":"https://alion.io/job/trunk-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":6869,"name":"Trunk Tools","domain":"trunktools.com","url":"https://alion.io/company/trunktools","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":183000,"max":246000,"currency":"USD","period":"year","gross":null,"usd_annual":246000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-06-03T00:13:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T22:13:20Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"Join our team as a Senior Machine Learning Engineer, where you will own and evolve core parts of our AI platform. You will lead the design and build-out of a multi-agent system, architect and scale document processing pipelines, design and iterate on search and retrieval systems, and help build and expand our knowledge graph. You will drive high-impact projects end-to-end, establish and improve evaluation and experimentation frameworks, and write clean, maintainable, production-grade code. The ideal candidate will have 7+ years of experience building and shipping production ML/AI systems, strong coding skills, and a background in search/ranking systems, NLP, recommendation systems, or large-scale data/ML infrastructure.\nMissions\nPosséder et faire évoluer des parties essentielles de notre plateforme d'IA, y compris la recherche, la récupération et l'orchestration multi-agents.\nDiriger la conception et la construction d'un système multi-agents, y compris la définition de nouveaux \"pilier\" d'agents et leur collaboration en production.\nArchitecturer et mettre à l'échelle des pipelines de traitement de documents, y compris l'ingestion, l'analyse, le fractionnement, l'indexation et l'extraction de données structurées.\nProfil recherché\n - Highly analytical, product-minded, and comfortable using data to drive decisions- Deep experience in document processing pipelines (e.g., parsing, chunking, indexing, structured extraction), ideally in distributed systems (Kubernetes 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