Senior Machine Learning Engineer at Apex Systems
About the role
Job: 3040576 Job Description: Description: PURPOSE: At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.?? Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets a…
Interview process at Apex Systems
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 Apex Systems interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.