{"schemaVersion":"jobsearcher.job.v1","id":"13f0532fa807751baa622ffd","url":"https://jobsearcher.com/jobs/13f0532fa807751baa622ffd","canonicalUrl":"https://jobsearcher.com/jobs/13f0532fa807751baa622ffd","title":"Machine Learning Engineer with Security Clearance","description":"SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production—integrating agentic AI systems into our product. This role is engineering-focused, working alongside a research counterpart to build and deploy real-world AI automation tools. This is an ideal role for a generalist who has built AI applications before and has strong intuition for AI—especially in deploying AI powered applications and AI agents. At SynthBee we're building Collaborative Intelligence™ maximizing the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process. What You'll Do Develop AI-driven reasoning agents and frameworks for automating complex tasks. Build and optimize RAG (Retrieval-Augmented Generation) pipelines Distill and fine-tune AI models to improve reasoning, automation, and decision-making. Deploy AI models into scalable, production-ready systems using Python and cloud-based infrastructure. Collaborate closely with researchers to operationalize AI advancements into real applications. What We're Looking For Proven experience building and deploying AI applications (ideally in a startup or fast-moving environment). Hands-on expertise with agentic frameworks (e.g., AutoGen, CrewAI, LangChain, DSPy, or Haystack). Strong background in AI-powered automation & orchestration workflows. Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate). Some experience with fine-tuning AI models is a big plus, but not required. Solid coding skills in Python, familiarity with cloud deployment tools (AWS, GCP, or Azure). Who Should Apply? You've built AI-powered applications—at a startup, in open-source projects, or in a side hustle. You're excited about agentic AI and building autonomous workflows that solve real problems. You want to be part of a small, fast-moving team where your work directly impacts the product. You're comfortable with ambiguity and love figuring things out in a fast-paced startup.","company":"Synthbee","rawCompany":"synthbee","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-05-09T14:02:21.608Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer with Security Clearance","description":"SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production—integrating agentic AI systems into our product. This role is engineering-focused, working alongside a research counterpart to build and deploy real-world AI automation tools. This is an ideal role for a generalist who has built AI applications before and has strong intuition for AI—especially in deploying AI powered applications and AI agents. At SynthBee we're building Collaborative Intelligence™ maximizing the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process. What You'll Do Develop AI-driven reasoning agents and frameworks for automating complex tasks. Build and optimize RAG (Retrieval-Augmented Generation) pipelines Distill and fine-tune AI models to improve reasoning, automation, and decision-making. Deploy AI models into scalable, production-ready systems using Python and cloud-based infrastructure. Collaborate closely with researchers to operationalize AI advancements into real applications. What We're Looking For Proven experience building and deploying AI applications (ideally in a startup or fast-moving environment). Hands-on expertise with agentic frameworks (e.g., AutoGen, CrewAI, LangChain, DSPy, or Haystack). Strong background in AI-powered automation & orchestration workflows. Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate). Some experience with fine-tuning AI models is a big plus, but not required. Solid coding skills in Python, familiarity with cloud deployment tools (AWS, GCP, or Azure). Who Should Apply? You've built AI-powered applications—at a startup, in open-source projects, or in a side hustle. You're excited about agentic AI and building autonomous workflows that solve real problems. You want to be part of a small, fast-moving team where your work directly impacts the product. You're comfortable with ambiguity and love figuring things out in a fast-paced startup.","datePosted":"2026-05-09T14:02:21.608Z","dateModified":"2026-05-09T14:02:21.608Z","hiringOrganization":{"@type":"Organization","name":"Synthbee","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"13f0532fa807751baa622ffd"},"url":"https://jobsearcher.com/jobs/13f0532fa807751baa622ffd"}}