Machine Learning Engineer at Jobscast
About the role
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, model training, evalua…
Interview process at Jobscast
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 Jobscast interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.