Charles River Analytics

HQ
Cambridge
157 Total Employees
Year Founded: 1983

Jobs at Charles River Analytics

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

One Month AgoSaved
In-Office
Cambridge, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
Provide onsite desktop IT support at the Cambridge office: respond to tickets, manage IT assets, troubleshoot hardware, network, and software issues for Windows and macOS, manage Entra ID/Active Directory and Intune, deploy devices and accounts for new hires, support enterprise applications, and document solutions and knowledge-base articles.
One Month AgoSaved
In-Office
Cambridge, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
Lead research in Human-Computer Interaction, managing teams to develop user-centric technology solutions and conducting studies on human-systems integration.
One Month AgoSaved
In-Office
Cambridge, MA, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
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.
One Month AgoSaved
In-Office
Honolulu, HI, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
Customize and configure agent-based simulation backends and AI agent training for military wargaming. Define analytical problems with customers, implement agent behaviors and decision logic, deploy and maintain containerized systems, evaluate agent outputs, debug traces, document DSLs and limitations, and translate field needs into product requirements and acceptance criteria.
One Month AgoSaved
In-Office
Honolulu, HI, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
Configure, adapt, troubleshoot, and enhance military simulation systems to support wargaming, experimentation, analysis, training, and operational decision-making. Translate mission needs into executable scenarios, diagnose model behavior, manage configuration baselines, document assumptions and uncertainties, and work with stakeholders to report defects and recommend roadmap improvements while adhering to classification and data-handling rules.