Would you like to be a part of an organization that values innovation, talent and thinking outside of the box?
The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, is located midway between Baltimore and Washington, DC.
The Analytic Capabilities Group of the Asymmetric Operations Sector is looking for a Senior Machine Learning (ML) Researcher to develop inventive, cutting-edge solutions for training and applying machine learning algorithms to problems of national interest. Candidate will be working with team developing ML algorithms that can operate at the tactical edge. The candidate will have the chance of working on the state of the art hardware for application of Deep Learning and other ML algorithms.
Duties (Listed in order of importance with the estimated amount of time spent at each task):
* Develop state-of-the-art ML and data mining algorithms to operate on very large data sets collected under challenging operational environments, and to provide robust situation assessment/awareness and predictive capabilities of potential future threats. (40%)
* Perform prototype implementation of the developed ML algorithms on low Size, Weight, and Power (SWaP) hardware such as graphical processing units (GPUs), Tensor Processing Units (TPUs), field programmable gate arrays (FPGAs) and neuromometic chips like the IBM TrueNorth. (40%)
* Share knowledge by clearly articulating ideas through papers and presentations to technical staff, management and government decision makers. Publish research findings in peer-reviewed literature. Collaborate to document and support software analytics. (10%)
* Work with program office for reporting technical accomplishments and project deliverables, and to engage sponsor organizations for communicating capabilities and impact of research and develop concepts of operation with mission relevance. (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.
PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering or related field with emphasis on computer science and machine learning; strong problem solving skills; experience dealing with real-world large data sets; experience with pattern recognition, statistical analysis; fluent, with hands-on experience with some of the following implementation languages: Python, R, Matlab, JAVA, or C /C; ability to work independently or within a group; excellent verbal and written communication skills; strong analytical and organizational skills. Eligibility to obtain up to a Top Secret clearance.
Proven track record in designing and developing machine learning and data mining algorithms for solving interdisciplinary problems; experience with data-driven predictive model development, unstructured text mining, natural language processing, anomaly and novelty detection; experience with some of the following Deep Learning frameworks: Keras, TensorFlow, CAFFE 2; and hands-on experience with implementation of algorithms in Jetson TX2 GPU, IBM TrueNorth and Raspberry Pi.
Special Working Conditions: Some limited travel (up to 10%) to customer sites may be required. Occasional weekend and other after-hours work required to handle and/or complete critical project/work-related business needs.
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.