Senior Machine Learning Engineer at Leidos
About the role
Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software …
Interview process at Leidos
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 Leidos interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.