Member of Technical Staff, Pretraining
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
- Work at the intersection of research and systems on our pretraining stack
- Contribute across the full pipeline, from data processing and model architecture to distributed training infrastructure and low-level optimization
- Help determine how we scale our next generation of models
Responsibilities
- Implement and iterate on model architectures, training algorithms, and optimizer research in large-scale pretraining runs
- Scale distributed training jobs across thousands of GPUs
- Optimize training throughput for novel attention mechanisms, architecture variants, and compute efficiency improvements
- Design and build large-scale data pipelines for efficient model consumption and dataset curation
- Run and analyze scientific experiments to advance understanding of how architecture and data choices affect model capabilities
Benefits
- Meaningful equity grant
- Competitive benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
