AI/ML Engineer - RMA-CQ & Digital Prints at Eliassen Group
About the role
Job Description Job Description Description: Hybrid in Irvine, CA Our client seeks an AI/ML Engineer to apply advanced machine learning and generative AI to semiconductor manufacturing and Customer Quality challenges within RMA-CQ and Digital Prints. The role requires building production-grade AI systems, collaborating with engineering teams, and demonstrating strong Python and PyTorch proficiency. Experience with Azure, agentic AI frameworks, RAG, and LLMs is beneficial. Candidates should show…
Interview process at Eliassen Group
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 Eliassen Group interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.