Top AI & Machine Learning Jobs

Lead the development of AI/ML algorithms for signals exploitation, estimation theory, and resource management. Collaborate and lead teams in a national security context.

The Lead Research Scientist develops advanced AI/ML technologies for signals exploitation and system management while leading project teams and collaborating with customers.

Lead and direct multidisciplinary teams to research, develop, test, integrate, and demonstrate advanced signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and sensor systems. Oversee modeling/simulation, algorithm T&E, customer engagement, and technical briefings for defense and intelligence applications.

Design, implement, and operationalize machine learning and analytics software for production environments. Build data pipelines, deploy tools, monitor system performance, and productize research into reliable, containerized solutions while collaborating with researchers and customers.

Operationalize and productionize machine learning and statistical algorithms: build data pipelines, deploy and monitor production systems, containerize and orchestrate services, collaborate with researchers and customers, and implement software standards to ensure robust, reliable operational analytics for national security use cases.

Lead design, develop, integrate, test, and demonstrate autonomy algorithms and backend software for uncrewed systems. Provide technical leadership, mentor engineers, drive architecture and engineering best practices, and collaborate with research scientists and customers across the software lifecycle.

Lead design, develop, integrate, test, and demonstrate autonomy and multi-agent algorithms and backend software for unmanned systems. Provide technical leadership, mentor engineers, drive software architecture and best practices, and support DevSecOps/CI-CD pipelines from prototype to deployed system.

Design, develop, implement, integrate, test, and demonstrate autonomy algorithms and backend software for unmanned platforms. Provide technical leadership and mentoring, transition research algorithms into production code, support system and system-of-systems architecture, and maintain DevSecOps/CI/CD practices, testing, and code quality across the software lifecycle.

Design, implement, test, and integrate autonomy and multi-agent algorithms for unmanned systems. Provide technical leadership, transition research into production software, support system and SoS architecture, and maintain DevSecOps/CI/CD-backed backend algorithmic services.

Develop and research ML and estimation-theory algorithms for signals exploitation, tracking, and resource management. Build and train neural networks, run experiments and simulations, analyze performance, adapt novel ML methods to new modalities, collaborate on multidisciplinary teams, and interact with customers. Onsite role in Woburn, MA supporting national security missions.