Senior Artificial Intelligence Researcher for Scientific Discovery

About the role

We are looking for an AI Researcher to bring creative problem-solving talents to our teams, leading and contributing to the research and development of innovative algorithms and prototypes for scientific discovery. The Complex Systems Group, part of the Intelligent Systems Center, conducts research at the intersection of AI and complex systems, with an emphasis on advancing capabilities in machine learning-based surrogate models, scientific automation, AI-assisted reasoning, and AI-guided design. We develop methods to drive discovery and design across scientific and engineering domains toward national security impact, including AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems.

Responsibilities

• Design, train, and develop machine learning (ML) algorithms for scientific discovery across complex systems.
• Collect and prepare data, evaluate models, and program AI/ML solutions.
• Establish collaborations with domain experts in complex systems and seek opportunities to propose ideas for internal or external funding.
• Build working relationships with Program Managers to identify opportunities to grow work in key areas.
• Publish research in impactful venues and engage with the external research community, collaborators, and sponsors.

Requirements

• PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.
• Published previous research in peer-reviewed journals and/or conferences.
• 2+ years of experience in one or more key technical skills, including modern AI/ML methods, deep learning, foundation models, agentic workflows, physics- or domain-informed ML, AI-driven surrogate modeling, diffusion modeling, neural operators, graph neural networks, large language models, or symbolic AI.
• Experience applying AI/ML to real-world data such as remote sensing data, materials data, omics data, or additive manufacturing-related data.
• Proficiency in Python and developing AI/ML software.
• Experience with relevant Python-based AI and scientific computing tools, such as PyTorch, JAX, or related libraries.
• Excellent written and oral communication skills to articulate complex technical issues for a wide range of audiences.
• Ability to obtain an Interim Secret security clearance by your start date and ultimately obtain a Top Secret level clearance (U.S. citizenship required).

Preferred Qualifications

• 5+ years of research experience.
• Experience with containerized, cloud, High Performance Computing (HPC), or distributed computing environments.
• Background knowledge in a science or engineering discipline such as materials, chemistry, biology, or advanced manufacturing.
• Skills in project management or leading technical teams.
• Experience writing technical proposals, particularly for government research sponsors.

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space, and science challenges. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. APL celebrates differences of perspectives and encourages creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area.

Pay

Minimum Rate: $105,000 Annually
Maximum Rate: $290,000 Annually

Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training, and skill level, with consideration for internal parity. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation, including sign-on bonuses, relocation benefits, locality allowance, or discretionary payments for exceptional performance.

Benefits

• Comprehensive retirement plans.
• Paid time off.
• Medical, dental, vision, life insurance.
• Short-term and long-term disability.
• Flexible spending accounts.
• Education assistance and training/development.