Senior Machine Learning Engineer, AI Platform at Adobe
About the role
The Opportunity Adobe's AI and generative AI products, from Firefly to the intelligence built into Creative Cloud and Experience Cloud, run on a shared compute and inference platform. It's the infrastructure every internal ML team uses to train models and serve them to production at global scale. As a Staff Machine Learning Platform Engineer, you'll own core parts of that platform. That means extracting maximum utilization from large GPU fleets, moving models from experiment to production witho…
Interview process at Adobe
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 Adobe interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.