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Johns Hopkins Applied Physics Laboratory · 4 months ago

2026 PhD Graduate - Algorithm Researcher - Artificial Intelligence, Machine Learning, and Information Fusion

Laurel, Maryland

Full-time

Onsite

Entry Level

$102K/yr - $228K/yr

2+ years exp

Johns Hopkins Applied Physics Laboratory is dedicated to addressing critical defense and security challenges through innovative solutions. They are looking for a highly motivated PhD graduate to research and develop algorithms in the fields of Artificial Intelligence and Machine Learning, contributing to defense systems. The role involves algorithm development, data analysis, and collaboration with a team of scientists and engineers.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches

Interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed

Prepare and present technical evaluations of algorithms to a broad audience that includes both decision makers as well as technical peers

Interact with external sponsors to discuss technical solutions and influence decision-makers

Serve as an internally recognized subject matter expert in one or more technical areas related to information fusion OR Artificial Intelligence

Qualification

Machine LearningData FusionAlgorithm DevelopmentPythonMATLABDeep LearningVersion ControlHigh-Performance ComputingTime ManagementCommunication Skills

Required

Have a PhD in Computer Science, Engineering, Mathematics, Statistics, Physics or related field

Have 2+ years of experience in the machine learning and data science fields; OR completed and have a strong interest in linear algebra, calculus, stochastic processes, detection and estimation theory, information theory, or related coursework

Are fluent in Python or MATLAB, with the ability to translate mathematical concepts into well-documented and efficient code

Have excellent time management skills and can effectively communicate ideas and results

Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain 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

Preferred

Have 4+ years of experience in designing and implementing algorithms involving one or more of the following: classification, clustering, deep learning, decision making, AI explainability, stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion (e.g., KF, MHT, IMM, etc.)

Have demonstrated experience in working with version control software like Git

Have experience developing AI/ML research prototypes in code, using one or more of scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python

Have experience using high-performance computing structures like GPUs and CPU clusters

Willingness to travel up to 10% of the time, as needed and hold an active Secret clearance

Benefits

Generous benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

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

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942

Laurel, Maryland, USA

5001-10000 employees