Senior Machine Learning Engineer at Openkyber
About the role
Position: Senior Machine Learning Engineer Location: Mountain View, CA (Hybrid or Remote) Duration: 12 Months Key skills: ML Ops, computer vision (image models and processing), deep learning, GPU training, Google Cloud Platform, TensorFlow, PyTorch, Agentic coding tools Role Overview: We are looking for an ML Engineer who will be working on products related to seismic and well log data, identifying simple geologic characteristics of the data (faults, horizons). Full stack ML with the focus on s…
Interview process at Openkyber
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 Openkyber interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.