Machine Learning Engineer at Kforce Technology Staffing
About the role
RESPONSIBILITIES: Kforce has a client in San Jose, CA that is seeking a hands-on Machine Learning Engineer to help build and operationalize ML capabilities supporting a learning opportunity-assessment solution. This role will translate ML and analytical strategies into repeatable feature pipelines, ML workflows, model lifecycle processes, and data integrations. Key Responsibilities: * Build and maintain feature-engineering and ML pipelines * Develop repeatable workflows for data preprocessing, …
Interview process at Kforce Technology Staffing
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 Kforce Technology Staffing interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.