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AI Assurance Engineer

The Johns Hopkins University Applied Physics Laboratory
life insurance, paid time off
United States, Maryland, Laurel
11100 Johns Hopkins Road (Show on map)
Dec 18, 2024
Description

Are you a dedicated engineer with hands-on experience in testing, measurement, and experimentation within the Department of Defense (DoD) or a similar environment?

Do you excel at developing and executing detailed test plans, analyzing complex data, and ensuring the highest standards of quality and reliability in AI systems?

If you are passionate about AI Assurance and thrive in a collaborative, fast-paced setting, we want to hear from you!

We are seeking a skilled professional who can contribute to the meticulous testing and evaluation of AI technologies, ensuring they meet rigorous assurance standards and contribute to the success of our cutting-edge programs.

As an AI Assurance Engineer, you will...

  • Design experiments for real world AI systems in defense and healthcare
  • Analyze real-world data to ensure validity and reliability, supporting assurance of critical government missions
  • Collaborate with a skilled team of AI researchers at the forefront of defense and health testing
  • Create and present ideas, proposals, experimental designs, and analyses directly to our sponsors

Qualifications

You meet our minimum qualifications for the job if you have...

  • A Bachelor's degree in Computer Science, Data Science, Statistics or a related field
  • At least 1 year of experience with testing and evaluation of AI technologies
  • Proficiency in statistical software such as R, JMP, or Python
  • Strong communication skills and the ability to collaborate and work effectively in a team environment
  • The ability to obtain a Top Secret level clearance. If selected, you 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.

You'll go above and beyond our minimum requirements if you have...

  • A Masters (or higher) Degree in Computer Science, Data Science, Statistics or a related field
  • 3+ years of experience with testing and evaluation of AI technologies
  • Experience in designing statistically rigorous experiments with real-world constraints
  • Comfortability presenting and explaining statistical concepts and analyses to senior executives

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. 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's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttp://www.jhuapl.edu/careers.


About Us

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.

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.

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.


Minimum Rate

$85,000 Annually

Maximum Rate

$175,000 Annually
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