Scientist - AI & Machine Learning

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.