Machine Learning Scientist
Are you passionate about providing real impact to the country's toughest national security problems?
Are you searching for engaging work with an employer that prioritizes continual innovation?
Our team is looking to provide large-scale analytics contributions to national and homeland security programs. To succeed, we need talented data and computer scientists. We are looking for individuals with curiosity and drive to develop new approaches and technologies in data science to solve our nation's most difficult challenges.
The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, is located midway between Baltimore and Washington, DC is seeking a Machine Learning Scientist with strong computer science and software development skills.
The Large-Scale Analytics Group develops machine learning algorithms on big data platforms to find information hidden deep within large and complex data sets. We support multiple agencies within the US Government by applying innovative analytics to uncover activities such as illegal activities, international trade fraud, illicit manufacturing of weapons of mass destruction, and cybercrime. We are looking for data scientists, computer scientists, and applied mathematicians to join our team and provide our sponsors with innovative machine learning solutions to old problems. The successful candidates should have broad knowledge of existing machine learning techniques and should be willing to develop new machine learning techniques that improve on existing methods. The successful candidates should also be creative thinkers, motivated problem solvers, team players, and life-long learners that want to strengthen the safety and security of our country.
Duties (Listed in order of importance with the estimated amount of time spent at each task):
1. Develop advanced algorithms for analyzing large-scale and complex data. (30%)
2. Design and develop large-scale graph analytics using technologies like Hadoop and Spark to support analytic algorithms. (30%)
3. Create software applications and perform analytics on complex data. (30%)
4. Present results to both JHU/APL and Sponsor leadership. (10%)
Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.
Ph.D. in Computer Science, Information Science, Applied Mathematics, Statistics, Physics, Operations Research, Data Science, or related field. 1-5+ years of experience. Experience with statistics and machine learning algorithms. Working knowledge of modern large-scale data systems and architectures. Solid software development and programming skills in Java, C++, C# or a similar language. Excellent interpersonal skills, the ability to work independently, outstanding written and oral communications skills, and good organizational skills. Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for access to classified information. Eligibility requirements include US citizenship. Must be eligible for a DoD Secret clearance.
Working knowledge of state-of-the-art large-scale data science approaches and architectures, the ability to manage and manipulate large data sets, and the ability to utilize various machine learning techniques. Knowledge of Python, R, and Matlab. Experience with natural language processing algorithms and visual analytics. Experience with software engineering processes and DevOps approaches. Eligibility for a DoD Top Secret clearance requiring background investigation and/or polygraph examination. Preference for current SSBI.
Special Working Conditions [Travel, working in closed areas, extended hours]: Some local travel to sponsor sites may be required.
Security: Applicant selected 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.
Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.
Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
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