Production ML Engineer: Edge AI & Real-Time Systems

Matrixspace; Burlington (MA); On-site; USD 165,000 - 200,000; Full time

Job summary

MatrixSpace in the United States is seeking a hands-on Machine Learning Engineer to turn cutting-edge ML research into production‑ready software. You will partner with Data Scientists to implement algorithms in performant, maintainable systems across edge, near-edge, and cloud environments.

You will build ML infrastructure and tooling, design AI agents and LLM-powered applications, and help deploy models with real-time performance.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, ML/AI, Robotics, or related field.
• Strong hands-on programming experience in C++ and Python.
• 3-5 years of experience developing and deploying ML systems in production.
• 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.

Responsibilities

• 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.

Skills

C++ programming

Python programming

ML deployment

Team collaboration

Education

BS/MS/PhD in Computer Science or related field

Job description

MatrixSpace in the United States is seeking a hands-on Machine Learning Engineer to turn cutting-edge ML research into production‑ready software. You will partner with Data Scientists to implement algorithms in performant, maintainable systems across edge, near-edge, and cloud environments.

You will build ML infrastructure and tooling, design AI agents and LLM-powered applications, and help deploy models with real-time performance.