Graduate AI Engineer & Data Scientist - Threat Analytics

Job Overview Are you excited about applying your education toward building creative solutions for our nation’s greatest challenges? Are you searching for a collaborative environment that prioritizes impact, innovation, and personal development? If so, the Threat Analytic Systems Group is looking for someone like you to join our APL team! We are a team of software engineers, data scientists, and knowledge representation experts who partner with experts across a wide range of domains including countering weapons of mass destruction (CWMD), special operations, intelligence analysis, biothreat security, online disinformation, and disease surveillance. Our goal is to research and build innovative AI-enabled systems that can identify and prioritize relevant data in a timely, scalable manner and accelerate our sponsors’ ability to observe and act on threat activities. Responsibilities Design, implement, test, and deploy algorithms, machine learning models, and AI-enabled systems in a dynamic, fast‑paced, team‑oriented environment. Interact with sponsors, analysts, and other end users to understand their mission goals, gather requirements, and innovate new ways to improve efficiency. Survey academic literature, propose new research, engineer solutions, and utilize DevOps/MLOps strategies to overcome deployment challenges. Document and present work on current research and development activities. Qualifications A Bachelor’s degree in computer science, mathematics, engineering, or related technical field. Strong problem‑solving, analytical, and organizational skills, plus excellent written and verbal communication skills. Experience working successfully within a team environment. Ability to obtain an Interim Secret Clearance by start date and ultimately obtain Top Secret level clearance. Eligibility requires U.S. citizenship. Software Engineers Experience in computer science fundamentals and Java, Python, JavaScript, and web development. Data Scientists Experience in Python. Familiarity with machine learning and scientific libraries such as PyTorch, TensorFlow, Scikit‑Learn, Pandas, and NumPy. Interest in working with engineers to integrate models and algorithms into analytic pipelines. Ontologists Foundation in formal logic. Additional Qualifications A Master's degree in computer science, mathematics, engineering or related technical field. Software Engineers (Advanced) Familiarity with Agile software development practices, full life cycle software development, or feature development. Familiarity with continuous integration and continuous deployment (CI/CD) best practices. Familiarity with containerization (Docker, Podman, Kubernetes). Experience with machine learning libraries and techniques. Experience with mobile development and Kotlin. Data Scientists (Advanced) Experience creating experiments, developing approaches, and testing hypotheses for data‑driven challenges. Familiarity with Python best practices. Familiarity with foundational machine learning approaches. Experience with information extraction and natural language processing techniques. Ontologists (Advanced) Experience building RDF/OWL ontologies. 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. Why Work at APL? At APL, we celebrate differences of perspectives and encourage creativity and bold, new ideas. Employees enjoy generous benefits—including robust education assistance, 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 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. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary. Salaried employees working less than 40 hours per week will be paid pro‑rated. APL may offer bonuses or other forms of compensation per internal policy. 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: $85,000 annually Maximum Rate: $165,000 annually #J-18808-Ljbffr Johns Hopkins Applied Physics Laboratory