Machine Learning Engineer at Dice Talent & Staffing Solutions
About the role
NOTE: Due to government contract requirements, United States Citizenship is required for this position. NO C2C or third parties please This role can be remote in the US, but if in San Francisco, it is on site Machine Learning Engineer San Francisco, CA (SoMa) | Full-Time | Remote Considered About the Opportunity Our client is a mission-driven AI startup building next-generation forecasting infrastructure at the intersection of deep learning and geoscience. Their models run across a heterogeneou…
Interview process at Dice Talent & Staffing Solutions
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 Dice Talent & Staffing Solutions interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.