2027 PhD Graduate Software Engineering/ML/Data Scientist - Intelligence Systems

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

We are seeking recent PhD graduates to help us tackle the complex research, engineering, and analytical problems that present critical challenges to our nation. Our group is currently making critical contributions in, developing the first truly autonomous UAV, advancing research in computer vision and reasoning systems. We apply artificial intelligence (AI), reasoning, machine learning (ML) operations, data science, systems engineering, and more to solve urgent tactical problems. We support sponsors in defense, homeland security, and health care, conducting research to address critical challenges. As a member of our team you will work with dedicated team members charged with developing and delivering solutions that support national priorities. You will work within a team environment and apply your skills to projects and tasks in areas such as Machine Perception, Intelligent Systems, Reasoning for Autonomy, Software Engineering, ML Operations, AI Assurance, and Data Science.

Requirements

  • Possess a PhD, or will have PhD in near future, in Computer Science, Mathematics, Engineering, or related technical field
  • Are able to obtain an Interim Secret clearance by your start date and can ultimately obtain a Top Secret level security clearance.
  • If selected, a government security clearance investigation will need to be conducted and the requirements met for access to classified information.
  • Eligibility requirements include U.S. citizenship.

Responsibilities

  • Work with dedicated team members charged with developing and delivering solutions that support national priorities
  • Work within a team environment and apply your skills to projects and tasks in areas such as Machine Perception, Intelligent Systems, Reasoning for Autonomy, Software Engineering, ML Operations, AI Assurance, and Data Science

Benefits

  • robust education assistance program
  • unparalleled retirement contributions
  • healthy work/life balance
  • retirement plans
  • paid time off
  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • flexible spending accounts
  • education assistance
  • training and development
  • sign-on bonus
  • relocation benefits

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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