Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Jun 3, 2026.
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.
Missions
- Posséder et faire évoluer des parties essentielles de notre plateforme d'IA, y compris la recherche, la récupération et l'orchestration multi-agents.
- Diriger la conception et la construction d'un système multi-agents, y compris la définition de nouveaux "pilier" d'agents et leur collaboration en production.
- Architecturer 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.
Profil recherché
- 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 or similar)
- 7+ years of experience building and shipping production ML/AI systems
- Background in one or more of: search/ranking systems, NLP, recommendation systems, or large-scale data/ML infrastructure
- Strong coding skills (Python, Go, or similar) with an emphasis on production systems
- Bonus: experience in construction or other document-heavy industries
- Experience building or working with knowledge graphs / provenance graphs and modeling relationships between entities
- Strong experience with agentic systems, LLM-based applications, or orchestration frameworks
- Proven track record of leading complex, ambiguous projects and driving them to impact

