Top AI & Machine Learning Jobs in Boston, MA

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.

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.

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.

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.

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.

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.

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.

Develop, evaluate, and deploy AI/ML models for national security applications. Analyze complex datasets, build scalable backend services and APIs, create visualizations and UIs, and collaborate with researchers, engineers, and customers to transition prototypes into production across cloud, on-prem, and edge environments.