Member of Technical Staff, ML Systems

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

This is an intentionally open-ended role. Some example areas you might work on (not limited to):

• Building and scaling training and inference infrastructure (potentially for various chips across frameworks) for training frontier models

• Designing and implementing custom ML kernels

• Optimizing performance (latency, throughput, cost)

• Developing data pipelines and evaluation tooling

• Deploying and maintaining reliable production systems

If you’re excited about working on ambitious problems at the intersection of AI, research, and science, we’d love to hear from you.