ML/AI Engineer at Eos Talent
About the role
ML/AI Engineer at a seed-stage team working on one of the hardest problems in crypto - backed by tier 1 VCs. You are the person who takes ML research and turns it into production systems that work. Training pipelines, eval harnesses, inference services, synthetic data generation, feedback loops. Not a research role. Not a backend integration role. The full path from prototype to deployed system. Needed: -> proven ability to ship ML models into real products, not just notebooks and demos -> rein…
Interview process at Eos Talent
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 Eos Talent interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.