Charles River Analytics
Scientist - AI & Machine Learning
$120K–$200K
Cambridge, MA +1 · Full-time · Posted Oct 2, 2026
- Location
- Cambridge, MA
Cambridge, MA, United States - Experience
- 3+ years building AI/ML systems, or a completed graduate degree (M.S. or PhD) with academic research experience in AI/ML systems. Preferred: 5+ years of post graduate experience building AI/ML systems.
- Education
- Bachelor’s degree in computer science or related field.
- Visa sponsorship
- U.S. citizenship required; must be able to obtain a security clearance.
About the job
Develops neuro-symbolic AI and machine-learning frameworks and deployable solutions for complex problems, including national-security applications.
What you'll do
- Design, implement, debug, profile, and refine AI frameworks and systems.
- Collaborate with or manage engineers and scientists; contribute to reports and papers and foster customer relationships.
- Develop and manage innovative R&D programs.
What they ask for
- Bachelor’s degree in computer science or a related field.
- U.S. citizenship and ability to obtain a security clearance.
- 3+ years building AI/ML systems, or a completed M.S. or PhD with academic research experience in AI/ML systems.
- Knowledge of probability, multivariable calculus, and linear algebra; moderate–to-advanced Python, practical Linux development, and working knowledge of a machine-learning library.
Nice to have
- 5+ years of postgraduate experience building AI/ML systems; product deployment experience; or experience writing or co-writing DoW proposals or grants.
- Deep-learning expertise, end-user solution delivery, strategic development of complex AI codebases, broad computer-science research knowledge, or an active clearance.
Pay
$120,000 - $200,000 USD base salary
Tools
Python, Linux, shell, Git, Docker, TensorFlow, PyTorch, JAX
AI focus
Builds next-generation neuro-symbolic AI, integrating deep learning and machine learning with symbolic knowledge, probabilistic programming, Bayesian reasoning, automatic program synthesis, and combinatoric optimization.
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