Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to advance the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We’d love to hear from you!
We are seeking an Applied Scientist passionate about building next-generation neuro-symbolic AI. In this role, you will be not just applying AI technology but helping to build the next-generation version of that technology. You will be extending the cutting edge of deep learning and machine learning technologies, developing novel integrations with symbolic knowledge, probabilistic programming and Bayesian reasoning, automatic program synthesis, combinatoric optimization, and more. You will be collaborating with researchers, engineers, and subject-matter experts to build core technologies and deployable AI solutions solving complex problems with high impact on national security and society.
How you will make a difference:
- Design, architect and implement state-of-the-art AI frameworks and solutions
- Debug, profile, and refine complex AI systems
- Collaborate with and/or manage software engineers and scientists
- Lead or contribute to writing reports and papers
- Foster relationships with customers
- Develop and manage highly innovative R&D programs
What you need:
- Bachelor’s degree in computer science or related field
- U.S. Citizenship with the ability to obtain a security clearance
- 3+ years of experience building AI/ML systems or a completed graduate degree (M.S. or PhD) with academic research experience in AI/ML systems
- Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
- Moderate–to-advanced Python skills and practical Linux development experience (shell, Git, Docker)
- Strong working knowledge of at least one machine learning library (TensorFlow, PyTorch, JAX, etc.)
- Motivated to learn and apply new technologies
- Ability to accommodate a hybrid schedule (60% onsite, 40% remote)
Our preferred candidate has:
- 5+ years of post graduate experience building AI/ML systems
- Experience with product deployment
- Experience as a writer or cowriter to DoW proposals/grants
- Expertise in deep learning and practical experience training, tuning, debugging, and profiling deep learning models
- Demonstrated effectiveness in delivering complex AI/ML solutions to end-users from concept to deployment
- Demonstrated effectiveness in strategically developing complex AI codebases over months-to-years
- Broad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plus
- Active clearance
Salary Range
$120,000 - $200,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.
Skills Required
- Bachelor's degree in computer science or a related field
- U.S. citizenship
- Ability to obtain a security clearance
- At least 3 years of experience building AI or machine learning systems, or a completed graduate degree with academic research experience in AI or machine learning systems
- Moderate to advanced proficiency in Python
- Fundamental knowledge of probability, multivariable calculus, linear algebra, and related technical areas
- Familiarity with Linux systems and development
- Motivation to learn and apply new technologies
- Ability to work a hybrid schedule with 60% onsite and 40% remote work
- Five or more years of postgraduate experience building AI or machine learning systems
- Experience with product deployment
- Experience writing or co-writing Department of War proposals or grants
- Expertise in deep learning and practical experience training, tuning, debugging, and profiling deep learning models
- Experience delivering complex AI or machine learning solutions to end users from concept through deployment
- Experience strategically developing complex AI codebases over months or years
- Broad knowledge of computer science research areas including programming languages, knowledge representation, reasoning, optimization, robotics, or computer vision
- Active security clearance
What We Do
Charles River Analytics conducts leading-edge AI, robotics, and human-machine interface R&D and leverages that R&D to create custom solutions. We bring foundational research to life, creating human-centered intelligent systems at the edge of what’s possible, through deep partnerships with our customers. We hire and nurture smart people so they can solve hard problems at the intersection of human and machine intelligence. In 2012, we became a 100% employee-owned company, setting the stage for the next generation of innovation, service, and growth.
