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# Applied Scientist, AI & Deep Learning

- **Company:** Charles River Analytics Inc.
- **Location:** Cambridge, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $120,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Software Debugging, Linux, Python (Programming Language), Machine Learning, Knowledge Representation, Information Technology, Machine Learning Operations, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/applied-scientist-ai-deep-learning-charles-river-analytics-8732427

## About the Role

* Bachelor's degree in computer science or related field
 * U.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 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 with product deployment
 * 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

## Description

* 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


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