Help us bridge machine learning research and real-world deployment!
MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.
If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.
What You'll Do
Partner with Data Scientists to transform research algorithms into robust, production-quality software.
Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
Design and implement AI agents, agentic workflows, and LLM-powered applications.
Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
Collaborate across engineering and research teams to transition prototypes into production systems.
What We're Looking For
This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'
This is NOT a fully remote position!
Required
BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
Strong hands-on programming experience in C++ and Python.
3-5 years of experience developing and deploying machine learning systems in production environments.
Experience building AI agents, LLM-based applications, or intelligent automation systems.
Strong problem-solving skills and ability to work across the full development lifecycle.
Excellent written and verbal communication and collaboration skills.
