Senior Artificial Intelligence Researcher for ...

DescriptionAre you an experienced researcher using artificial intelligence (AI) to contribute to critical challenges across complex systems domains? Do you enjoy leading and working with cross-disciplinary teams? If so, we're looking for someone like you to join our team at APL! 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. Our Complex Systems Group, within the Intelligent Systems Center (develops novel AI methods to accelerate discovery and design for materials science, protein engineering, climate intelligence and earth systems, as well as 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. You will establish collaborations with complex system domain experts and seek opportunities to propose your ideas for internal or external funding. You will also establish working relationships with our Program Managers to identify opportunities to grow our work in key areas. You will publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors. We are committed to developing exceptional talent and fostering a culture of innovation, and strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence. QualificationsYou meet our minimum qualifications for the job if you have:A PhD in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.Have 5+ years of research experience.A track record of publishing in scholarly journals or conferences.Demonstrated ability to conduct machine learning research studies.Experience in one or more of our core complex systems skills: AI/ML algorithms, data science, deep learning, graph theory, or statistical analysis.Strong programming skills and proficiency in commonly-used ML languages such as Python, and ML and data science libraries, such as TensorFlow, PyTorch, and OpenCV.Familiarity with advanced AI methods such as generative adversarial networks, physics-informed neural networks, neural operators, surrogate models, graph neural networks, and foundation models.Excellent written and oral communication skills to articulate complex technical issues for a wide range of audiences.The ability to obtain a Top Secret security 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 been a project manager or led small teams.Have experience in writing technical proposals or other forms of business development. 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.At APL, we celebrate our differences 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 at About UsAPL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 contact . Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place. 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 part-time salaried employees, 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, part-time study and training and development. Applications are accepted on a rolling basis. Minimum Rate$90,000 Annually Maximum Rate$330,000 Annually

Created: 2024-10-19