AI/ML Platform Engineer at Johns Hopkins Applied Physics Laboratory
About the role
Description Are you passionate about applying hands-on expertise to build and deliver artificial intelligence and machine learning solutions? Are you looking to tackle a wide range of complex problems in a field that is evolving faster than almost any other in technology? Do you have a strong desire to collaborate and work within a team of highly skilled researchers? If so, we're looking for someone like you to join our team at APL! We are seeking a highly motivated AI/ML platform engineer who …
Interview process at Johns Hopkins Applied Physics Laboratory
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 Applied Physics Laboratory interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.