Applied Signal Processing and AI/ML Engineer at Johns Hopkins Applied Physics Laboratory
About the role
Description Are you an engineer who enjoys turning messy sensor data into actionable information? Have you developed signal processing or AI/ML algorithms and seen them transition from prototypes into usable capabilities? Do you enjoy working on challenging sensing problems while collaborating closely with application experts? If so, we're looking for someone like you to join our team at APL. As an applied signal processing and AI/ML engineer, you will apply your expertise to develop, prototype…
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.