Charles River Analytics

HQ
Cambridge
157 Total Employees
Year Founded: 1983

Charles River Analytics Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Provides tuition assistance

Company Culture

Utilizes a flexible work schedule

Provides free snacks and drinks

Provides a mobile phone discount

12 Hours AgoSaved
In-Office
Wakefield, RI, USA
Artificial Intelligence • Healthtech • Machine Learning • Robotics
As a Software Engineer, you will develop computer vision solutions, optimize deep learning models, and work with team members and customers to transform concepts into practical products in the marine and defense sectors.
2 Days 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.
2 Days 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.