2027 Graduate - Software Engineer; Machine Learning Engineer; Data Scientist - Tactical Intelligence Systems

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, Machine Learning Operations, AI Assurance, and Data Science
• 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, Machine Learning Operations, AI Assurance, and Data Science

Requirements

• Possess a Bachelor's degree or Master’s degree 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.
• Possess a Bachelor's degree or Master’s degree 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.

Benefits

• At APL, we celebrate our differences of perspectives 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’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
• The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a 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. Applications are accepted on a rolling basis.