Senior Machine Learning Engineer at LexisNexis
About the role
Salary: $118,300 - 219,800 per year Requirements: We require a bachelors degree in Computer Science, Engineering, or a closely related discipline. We want strong experience building and scaling production ML/LLM systems. We need deep experience developing LLM applications, including RAG and prompt orchestration. We require experience designing and implementing agentic systems with agent frameworks such as LangChain, LangGraph, AutoGen, or Google ADK, including multi-step workflow orchestration …
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.