Sr. Machine Learning Engineer, Physical AI at Greylock Partners
About the role
Investment Profile Seed-stage infrastructure company in New York building an agentic development platform for the next generation of autonomous physical systems. The company's AI-native platform helps engineering teams model, validate, test, and continuously improve complex real-world systems in software before deployment. Rather than replacing simulation engines, it orchestrates the engineering workflow surrounding simulation, validation, testing, and continuous improvement, dramatically short…
Interview process at Greylock Partners
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 Greylock Partners interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.