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Charles River Analytics

Scientist - AI & Machine Learning

Cambridge, Massachusetts, United States

Location
Cambridge, Massachusetts, United States
Work
Hybrid
Employment
Not stated
Level
Mid level
Function
Data & AI
Pay
$120K – $200K a year (read from the ad)
Posted
5 weeks ago

Pay and the market here

The top of this role’s range, $200K a year, is 30% above the median of $154K for mid level data jobs in Massachusetts (middle half $125K – $200K, 39 jobs that state pay).

56 data jobs open in Cambridge: 0% remote, 13 posted in the last 30 days.

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About the role

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.

Source

Posted by Charles River Analytics on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 12:12 UTC; the original is the reference.

View the original ad ↗

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