Member of Technical Staff, ML Systems
About The Position
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.
Requirements
- Excited about working on ambitious problems at the intersection of AI, research, and science
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
