Principal Machine Learning Engineer at LexisNexis
About the role
Salary: $136,100 - 252,800 per year Requirements: We require 10 years of experience in machine learning or software engineering. We require a masters degree or bachelors degree; a computer science degree is highly desirable. We need a strong software engineering background, including system design and architecture for AI features or products serving large user bases and handling high volumes of unstructured data. We require experience deploying machine learning solutions to production. Responsi…
Interview process at LexisNexis
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 LexisNexis interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.