[Remote] Staff Applied Machine Learning Engineer (Remote - Anywhere in USA)

Note: The job is a remote job and is open to candidates in USA. Legion Intelligence is focused on moving beyond AI hype to deliver secure and reliable systems that enhance human capability. The Staff Applied Machine Learning Engineer will leverage expertise in AI/ML to design, develop, and deploy innovative machine learning solutions, collaborating closely with platform engineers and product partners.ResponsibilitiesLead the development of machine learning models and data-driven algorithms for high impact projectsLead the design and development of complex systems involving knowledge graphs and advanced entity detectionCollaborate with product and platform teams to own ML solutions end-to-endUnderstand the runtime complexity of algorithms and the cost to run ML models at a production scaleClearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholdersBuild, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fastTake ownership of your work, from design to implementation and maintenance, and drive projects to successful completionSupport production systems, handling debugging challenges in distributed systems to ensure reliability and uptimeAdapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the companySkillsUS Citizenship or Greencard is required due to US Government contract requirementsBachelor's or Master's degree in Computer Science, Machine Learning, NLP. PhD is preferred10+ years of experience in ML engineering with a proven track record of building models for large-scale systemsExperience building and supporting knowledge graph and semantic representation systemsProven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, context managementStrong communication skills and the ability to collaborate effectively with cross-functional teamsComfortable supporting production systems and debugging challenges in distributed systemsDemonstrated effectiveness in using AI tooling to accelerate research and development workflowsGrowth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and being open to changing course when it's rightDrive to foster a culture of collaboration, psychological safety, and technical excellenceStrong advocate for inclusion in technical discussions at all levelsStart-up experience or comfort in 0→1 product environmentsFamiliarity with Kubernetes is a plusExperience integrating machine learning models and data driven algorithms into larger system architecturesCompany OverviewLegion Intelligence builds the command layer for AI. When AI moves from answering questions to executing mission workflows, the rules change. It was founded in 2022, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://legionintel.com.