At Charles River Analytics, we develop leading-edge solutions and technology to address the world’s most complex challenges. Our team of innovative entrepreneurs drives advancements in AI, robotics, smart sensing, and human-centered computing. Our research and development efforts not only propel government programs forward but also unlock new opportunities in the commercial sector. As a 100% employee-owned company, we foster a culture of participation, innovation, and accountability among our staff. We take immense pride in our ability to attract and retain the industry's most talented and creative problem solvers.
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 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
- 3 years of professional experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systems
- Moderate to advanced proficiency in Python
- Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
- Familiarity with Linux systems and development
- 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 as a writer or cowriter to DoD proposals/grants
- 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.
- Ability to obtain a US Security Clearance
Why Charles River?
Charles River Analytics is a 100% employee-owned company that thrives on collaboration and values each team member. We provide competitive compensation including profit sharing, bonuses, and an attractive benefits package. Our comprehensive benefits include 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance. We offer generous paid time off, paid maternity/paternity leave, tuition reimbursement, a monthly gym allowance, and a casual work environment. We have free parking on site and are conveniently accessible by public transportation. At Charles River, we prioritize and truly value work-life balance, including our offer of a flexible hybrid schedule (60% onsite / 40% remote). Join our team of employee-owners to solve important problems—for our military, our homeland, our society, and our planet.
Top Skills
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.
