Neuro-Symbolic AI Scientist — Hybrid Work

Grvty; Cambridge (MA); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Bonus & retirement plan

Medical & dental insurance

Vision & life insurance

Tuition reimbursement

Paid time off

Job summary

Charles River Analytics, a GRVTY company, is seeking an Applied Scientist to design and implement next-generation AI/ML frameworks. You will work with researchers, engineers, and experts to deliver high-impact AI solutions for national security and society.

The role requires a strong foundation in probability, calculus and linear algebra, with Python and Linux proficiency and experience with ML libraries such as TensorFlow, PyTorch or JAX. A hybrid onsite/remote schedule is available.

Qualifications

• Bachelor's degree in computer science or related field.
• U.S. Citizenship with the ability to obtain a security clearance.
• 3+ years building AI/ML systems or an MS/PhD with AI/ML research.
• Strong knowledge of probability, multivariable calculus, linear algebra.
• Strong Python skills and practical Linux development experience (shell, Git, Docker).
• Experience with ML libraries (TensorFlow, PyTorch, JAX).

Responsibilities

• 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.

Skills

Python

Linux

Docker

TensorFlow

PyTorch

JAX

Education

Bachelor's degree in computer science or related field

MS/PhD with AI/ML research

Tools

Git

Shell

Job description

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.