Machine Learning Engineer at Johns Hopkins University AppliedPhysicsLaboratory
About the role
Description Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems? If so, we're looking for someone lik…
Interview process at Johns Hopkins University AppliedPhysicsLaboratory
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Johns Hopkins University AppliedPhysicsLaboratory interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.