SF AI startup; maintains Greenhouse postings (including evergreen engineering roles).
Questions will use Behavioral and Technical Coding signals from Thinking Machines Lab.
Difficulty
4.2/5 — Hard
Timeline
3-6 weeks
Formats
Application Review
Initial screening of resume and portfolio/GitHub profile via Greenhouse.
Recruiter Screen
A high-level conversation to discuss background, interest in the company, and logistical alignment.
Stay updated on the latest research papers published by the team.
Demonstrate a strong grasp of both theoretical AI concepts and practical implementation.
Showcase your ability to work in a collaborative, research-heavy environment.
Technical Interview
Deep dive into technical skills, often involving coding challenges or a review of past research/engineering work.
On-Site / Final Round
A series of interviews with team members covering technical depth, system design, and cultural fit.
Focus on scalability, latency, and data pipeline efficiency.
Explain a complex technical concept to someone without a technical background.
PracticeFocus on clarity and avoiding unnecessary jargon.