Apply on Employer Site

Johns Hopkins Applied Physics Laboratory · 1 week ago

AI/ML Software Development Engineer

Laurel, MD

Full-time

Onsite

Mid, Senior Level

$100K/yr - $228K/yr

3+ years exp

Johns Hopkins Applied Physics Laboratory is seeking a highly motivated Machine Learning Software Engineer to join their multidisciplinary team focused on innovative solutions for complex challenges. The role involves developing and deploying machine learning algorithms, interacting with diverse data sources, and supporting military evaluations.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

You will implement and analyze algorithms for various machine learning tasks, quantify and document the performance capabilities and limitations of algorithms for specific tasks, as well as provide metrics of robustness and confidence in specific approaches

You will interact with a variety of sensor and data sources, data types, formats, and structures for algorithm training and testing, performing any data cleaning, normalization, or manipulation as needed

You will scope and define needed software and hardware solutions to support operational constraints

You will support evaluation and experimental activities at military facilities, and transitions of documentation and capabilities to government or industry

Qualification

Machine LearningC++PythonAI/ML FrameworksLinux EnvironmentSoftware Development Best PracticesHardware ConfigurationInterpersonal SkillsCommunication Skills

Required

Hold a Bachelor's degree in Computer Science, Electrical Engineering, or a related field

Have at least three years of relevant experience implementing machine learning solutions

Are fluent in C++ and Python, with the ability to translate mathematical concepts into well-documented, well-structured, efficient code, particularly in a Linux environment

Are comfortable specifying and configuring hardware, and installing/configuring operating system level dependencies

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

Have knowledge of classification, clustering, deep learning, or decision making algorithms

Have demonstrated experience with software development best practices, i.e. working with Kanban boards and using version control software like Git

Can effectively communicate ideas and results, with excellent interpersonal skills

Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a 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 a Master 's degree in Computer Science, Electrical Engineering, or a related field

Have at least five years of relevant experience implementing and delivering machine learning solutions

Are extremely competent in a wide variety of programming languages, including C++, Python, and Java, on both Linux and Windows platforms, with experience bringing concepts from ideation to prototype

Have experience using, configuring, maintaining specialized high-performance computing structures like GPUs and CPU clusters

Have advanced work experience with developing and fielding classification, clustering, deep learning, or decision making algorithms, with experience with AI explainability

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