Lead Machine Learning Engineer

Samson Rose has been exclusively engaged to find a Lead Machine Learning Engineer to serve as one of the four cornerstone leaders of their engineering organization. In this role, you’ll own one of four key functions—Sense, Comms, Forecast, or Effect—and guide a team of experts to deliver critical components of their technology. You’ll rotate leadership across these functions, requiring both deep technical expertise and adaptability as a generalist. You’ll drive work across reinforcement learning, edge hardware, complex networking, and cloud workflows, collaborating closely with other leads to dynamically allocate resources and advance progress on each iteration. A bit about the company:Strategic Growth Stage: They recently raised additional funding and are targeting a Series A in the next few months. They have several key roles to hire for immediately, with plans to significantly expand the team after the next funding round. This is a high-growth environment with ample opportunities for career development.Mission-Driven Innovation: They specialize in autonomous systems software, deploying machine learning models for operational field roles across air, ground, and maritime platforms. Their technology is designed to be highly intuitive and "sticky," allowing new users to quickly get up to speed and operate complex systems with minimal training.Impactful Work: The team is already generating revenue from operational and R&D contracts with defense and government customers. Their projects range from field deployments of autonomous systems to advanced robotics integration, positioning employees at the forefront of innovation in autonomous robotics software.Career Opportunities: The company is actively hiring for multiple engineering roles. The team emphasizes shipping production code and real-world deployment over pure R&D, providing hands-on experience and tangible impact in the field. They’re looking for someone who:Proven experience leading teams of technical experts in a chaotic high-paced environment.Deep understanding of reinforcement learning methodologies with hands-on experience deploying and managing RL systems in production environments.Broad knowledge of machine learning inference systems, including applications in vision, voice, and control.Hands-on experience with edge computing hardware and developing cloud-based workflows.Proficiency in understanding and creating UML and sequence diagrams for complex systems.A strong grasp of complex networking principles and radio propagation.Exceptional leadership skills, with the ability to guide and motivate experts in domains that may be outside your primary area of expertise.Eligibility to obtain and hold a Department of Defense Security Clearance. If this role is of interest to you, please apply for it with your current resume. We will reach out to schedule an initial call.