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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 2027 PhD Graduate - Machine Learning and Artificial Intelligence - **Company:** The Johns Hopkins University Applied Physics Laboratory LLC - **Location:** North Laurel, MD, United States - **Experience:** Starter - **Salary:** $105,000.0 - $245,000.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Decision Support Systems, Machine Learning, Natural Language Processing, Tensorflow, Reinforcement Learning, Pytorch, Large Language Models, Scikit Learn, Information Technology, Data Analytics - **Published:** September 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18165034?backUrl=%2Fcareer%2F18165034%2F2027-Phd-Graduate-Machine-Learning-Artificial-Intelligence-Maryland-Laurel ## About the Role Do you enjoy exploring and analyzing data to find data-driven solution to complex problems? Do you want to contribute to work that is crucial to maintaining our national security and strength? Are you continuously searching for new ways to grow your knowledge and improve your skills? If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork., * Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field. * Demonstrate strong interpersonal skills and the ability to work independently and on a team. * Have a solid understanding of the mathematical foundations of ML, including probability, statistics, and linear algebra. * Have experience using modern AI/ML libraries or frameworks (e.g., PyTorch, TensorFlow, or similar), with including adapting or extending methods for domain-specific problems. * Demonstrate experience selecting appropriate modeling techniques for supervised, unsupervised, or reinforcement learning problems in research or real-world settings, with an understanding of when and why they are appropriate. * Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain 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 will go above and beyond our minimum requirements if you... * Have experience in project management or leading technical teams. * Have experience in writing technical proposals, particularly for government research projects. * Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings. * Have experience applying machine learning methods to scientific, engineering, or data analysis problems, including areas such as computer vision, NLP, time-series analysis, or scientific machine learning. * Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields. * Have experience understanding, developing, or adapting modern AI models and workflows, including large language models, for quantitative analysis and decision support. ## Description * Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force. * Contribute to the full research and development lifecycle for emerging problems. This includes model and algorithm selection, experimentation, analysis, and presentation of results. * Apply appropriate statistical and machine learning expertise towards selecting modeling approaches for complex, real-world data. * Use internal funding opportunities to shape the direction of future research. * Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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