RL Environment Software Engineer - AfterQuery at talentpluto
About the role
Location: San Francisco, CA Work Model: Onsite Industry: Applied AI / AI research data Compensation: $180K-$220K base, ~$400K OTE (uncapped profit share) About the Company Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Q…
Interview process at talentpluto
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 talentpluto interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.