Neuro-Symbolic AI Scientist for Next-Gen ML Systems

Charles River Analytics; Cambridge (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Charles River Analytics, a GRVTY company, seeks an Applied Scientist passionate about building next-generation neuro-symbolic AI. You will extend deep learning with symbolic knowledge and probabilistic programming to solve high-impact national security problems and advance AI capabilities.

You will collaborate with researchers, engineers and subject-matter experts to design, implement and optimize AI frameworks, debug complex systems, and contribute to research reports. U.S.

Qualifications

• Bachelor's degree in computer science or related field.
• 3+ years experience building ML/AI systems or a completed graduate degree with academic research experience in ML/AI systems.
• Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas.

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

ML/AI systems

Probability

Multivariable calculus

Linear algebra

Linux

Education

Bachelor's degree in computer science or related field

M.S./PhD in ML/AI

Job description

Charles River Analytics, a GRVTY company, seeks an Applied Scientist passionate about building next-generation neuro-symbolic AI. You will extend deep learning with symbolic knowledge and probabilistic programming to solve high-impact national security problems and advance AI capabilities.

You will collaborate with researchers, engineers and subject-matter experts to design, implement and optimize AI frameworks, debug complex systems, and contribute to research reports. U.S.