Machine Learning Analyst

3 weeks ago


London, Kentucky, United States The Johns Hopkins University Applied Physics Laboratory Full time
Job Description

We are seeking a highly motivated Researcher to contribute to the development of machine learning algorithms for non-kinetic defense systems.

The ideal candidate will have a strong background in machine learning and data science, with experience in developing AI/ML research prototypes in Python.

Responsibilities will include researching, implementing, and analyzing prototype algorithms for various machine learning tasks, as well as interacting with various data types, formats, and structures for algorithm training and testing.

The successful candidate will be able to effectively communicate ideas and results, and have demonstrated experience in working with version control software like Git.

Additionally, the candidate will be able to obtain an Interim Secret level security clearance by their start date and meet the requirements for access to classified information.

Eligibility requirements include U.S. citizenship.

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 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.



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