Applied Scientist, AI & Deep Learning

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 push at 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, with novel integration with technologies including 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 solutionsDebug, profile, and refine complex AI systemsCollaborate with and/or manage software engineers and scientistsLead or contribute to writing reports and papersFoster relationships with customersDevelop and manage highly innovative R&D programsWhat you need:Bachelor’s degree in computer science or related fieldU.S. Citizenship with the ability to obtain a security clearance 3+ years experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systemsModerate to advanced proficiency in PythonGood fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areasFamiliarity with Linux systems and developmentMotivated to learn and apply new technologiesAbility to accommodate a hybrid schedule (60% onsite 40% remote)Our preferred candidate has:5+ years of post graduate experience building AI/ML systemsExperience with product deploymentExperience as a writer or cowriter to DoD proposals/grants Demonstrated effectiveness in delivering complex AI / ML solutions to end-users from concept to deploymentDemonstrated effectiveness in strategically developing complex AI codebases over months-to-yearsBroad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plusSalary Range$120,000 - $200,000The 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.