<aside> 📌 This page explains the interview process with Gensyn; we want the process to be informative, enjoyable, fair, and efficient.

</aside>

<aside> 💡 While our protocol is dedicated to training machine learning models, please note that we do not permit the use of third-party coding assistants such as Co-pilot or ChatGPT in interviews. Although we don't restrict the use of these tools at Gensyn, our interviews are designed to assess your ability to think independently, problem-solve, and write code efficiently. We believe in leveraging tools to enhance productivity, but it's crucial that they augment critical thinking and human ingenuity, qualities we highly value in our team members.

</aside>

About Gensyn

• Gensyn grants machine learning engineers ultra-low cost p2p access to the world's compute - accelerating AI research and preventing model censorship.
• Co-founded in early 2020 by friends Ben Fielding and Harry Grieve. Though working in different industries at the time, both were experiencing the same core problem: the growing compute bottleneck in ML model training.
• Current team size of 33 people. Scaling to ~55 by end of 2025.
• Fully remote. Timespan = PST (San Francisco) to CET (Berlin). 3-4x in-person offsites per year.
• Raised >$50m in venture capital. Most recently, a $43m Series A led by a16z.

**Our Interview Process

Engineering**

Interview 1: Screening interview with recruiter - 30 minutes

Interview 2: Technical phone screen with short live coding test - 60 minutes

Interview 3: Technical interview - 2.25 hours

• Practical live-coding interview - 60 minutes
• 15 minute break
• Deep dive conversation on job-specific skills - 60 minutes

Interview 4: Final interview with co-founders - 45 minutes

Research

Interview 1: Screening interview with recruiter - 30 minutes

Interview 2: Conversation with a member of our Research team - 60 minutes

Interview 3: Technical test - 60 minutes