Teams at Charles River Analytics

Design, implement, debug, and optimize neuro-symbolic and deep learning AI systems; collaborate with engineers and subject-matter experts; lead R&D programs; write reports and papers; engage with customers and manage deployments.

Graduate-level software engineering intern working in Human-Centered AI. Interns build prototypes with small teams using Python and techniques in machine learning, probabilistic modeling, NLP, cybersecurity, and data analytics. Responsibilities include designing, programming, documenting complex software and rapidly learning new tools while collaborating on project-oriented research.

Lead R&D in computer vision, machine learning, and image processing for robotics and sensing applications. Design novel methods, guide prototype development, mentor scientists/engineers, engage customers and partners, produce proposals/publications, and transition technologies to field deployment.