Top AI & Machine Learning Jobs

Leads multidisciplinary teams developing, modeling, integrating, testing, and demonstrating signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and advanced sensor systems. Responsibilities include developing RF and radar concepts, directing modeling and simulation, supporting laboratory and field test evaluations, assessing system performance, translating customer requirements into research priorities, and presenting technical solutions to customers, sponsors, and senior management.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Researches, develops, evaluates, and integrates AI and machine learning models for national security applications. Analyzes multimodal datasets, including text, imagery, geospatial, time series, and social media data, to identify patterns and generate intelligence insights. Collaborates with researchers, engineers, domain experts, customers, and end users; communicates findings, defines requirements, responds to feedback, and mentors teammates. Work primarily occurs onsite in Woburn, Massachusetts, or Arlington, Virginia.

Research and develop AI and machine learning models for multimodal datasets supporting national security and intelligence missions. Analyze sparse, noisy, and high-dimensional data; identify patterns; build production-ready algorithms; communicate findings to customers; collaborate with multidisciplinary teams; and mentor others. Work includes statistical modeling, deep learning, language models, geospatial analysis, and advanced analytics.

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.

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.

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.

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.