Senior Artificial Intelligence Researcher for Scientific Discovery

We are looking for an AI Researcher to bring their creative problem solving talents to our teams, to lead and contribute to the research and development of innovative algorithms and prototypes for scientific discovery. The Complex Systems Group, part of the Intelligent Systems Center (www.jhuapl.edu/isc), 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 towards national security impact. This may include AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems.

As a researcher in our group, your primary responsibility will be contributing to and leading projects in AI for scientific discovery across complex systems.

As a member of our research team, you will:

• Contribute to projects in a variety of ways, such as designing, training, and developing machine learning (ML) algorithms, collecting and preparing data, evaluating models, and programming.
• Establish collaborations with complex system domain experts and seek opportunities to propose your ideas for internal or external funding.
• Establish working relationships with our Program Managers to identify opportunities to grow our work in key areas.
• Publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.

Are you eager to use artificial intelligence (AI) to unlock insights from complex, high-dimensional data towards national security impact?

Do you want to bring innovative AI to real-world challenges in domains such as materials science, biology, chemistry, and advanced manufacturing?

Are you an experienced researcher using artificial intelligence (AI) to contribute to critical challenges across complex systems domains?, * Have a PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.

• Have published previous research in peer-reviewed journals and/or conferences.
• Have 2+ years 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.
• Have experience applying AI/ML to real-world data such as remote sensing data, materials data, omics data, or additive manufacturing related data.
• Are proficient in Python and developing AI/ML software.
• Have 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
• Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you…

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

At APL, we celebrate our differences of perspectives and encourage 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. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. 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. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate

$105,000 Annually

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. 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.