MTS - Design Engineer at Attention Engineering (San Francisco Bay Area, CA)
Attention Engineering· San Francisco Bay Area, CA·
Role details
Job description
About Attention Engineering
The gap between how top engineers around the world use AI systems today - elaborate coding agent configs, massive context files, and engineered workflows - and how everyone else uses it is only growing.
We think the company that bridges the gap to create a sovereign product that understands and multiplies the rest of the worlds output will be one of the most important companies built in this decade.
The Team
We’re a small team of builders/researchers. We’ve worked at companies like Citadel, Jane Street, and Optiver, published papers at the top AI conferences, won IOI gold medals, and more.
If your background doesn’t fit cleanly into one of the buckets above, that’s fine. We care about ownership, experience building, and slope, rather than your pedigree.
The Role
apply to join us:
- If you’re excited to take extreme ownership, have conviction in novel design ideas, and want to help engineer the most ambitious application for AI
- If you are either the best in the world at your craft or a brilliant 15 to 20-something-year-old with a steep growth curve
- if you truly care about helping build something Great
You will design and build directly on the product with no layers between you and the decisions that matter.
Why work at Attention Engineering
- Early-Stage Impact: As a pre-seed startup, employees have the opportunity to shape the product and company culture from the ground up.
- Distributed Engineering Hubs: The company maintains engineering teams in Cambridge (UK), Zurich, and Munich, offering flexibility for top European AI talent, while product and go-to-market teams are based in San Francisco and London.
- Founding Team: Work directly with a young, ambitious founding team (founders aged 19 and 23) backed by high-profile investors from DeepMind, Sequoia, and LayerZero.
- Cutting-Edge AI: Tackle challenging problems in behavioral AI, desktop automation, and privacy-preserving machine learning.
- Culture: The company emphasizes "attention to details" and a mission-driven approach to changing the world through productivity. The team includes graduates from Cambridge, ETH Zurich, and Carnegie Mellon.