Machine Learning Engineer at Global Soft Systems
About the role
Machine Learning Engineer It is hybrid 3 times a week in Parsippany, NJ , with an onsite iv as a final round Long Term Job Description: Machine Learning Engineer Recommendation Systems (Consumer Marketing) Must haves: Recommendation Systems/ Ranking Systems Neural networks DeepLearning GRAPH DeepFM Matrix factorization We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate …
Interview process at Global Soft 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 Global Soft Systems interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.