Kairos
Back to jobs

Member of Technical Staff, Design Engineer

On-site
MirendilSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Tech

Compensation

Salary undisclosed
Apply
Share

Description

Mirendil

Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible.

We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.

The Role

We are looking for a Design Engineer to work on the intersection of design and engineering. At Mirendil, product experience is important to us. We're starting from the ground up by building model, harness, and product to optimize the experience for AI developers. You'll work directly with researchers and other engineers to shape the product as you see fit. Some example areas you might work on:

  • Understand deeply what workflows are being done and design good abstractions for them

  • Iterate with high speed with other researchers and engineers in the company

  • Ensure cohesion between external components of the product and internal abstractions

  • Design, build and iterate over user interfaces

  • Innovate on what AI-native interfaces can look and feel like

  • Help us ensure our product sparks joy

If you're excited about working at the intersection of design, engineering, and frontier AI research, we'd love to hear from you.

We offer a base salary of $350,000–$500,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.

Stack

Reinforcement Learning
Posted
Unknown
Last seen
Jun 25, 2026
First seen
Jun 25, 2026
Status
active