Member of Technical Staff, ML Systems

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. #J-18808-Ljbffr