Machine Learning Researcher
MatX(1 year ago)
About this role
MatX is developing a vertically integrated silicon-to-systems stack to run the world’s best AI models as efficiently as physics allows. This position sits on the research team and supports the company’s mission to advance large-scale ML systems and improve model quality, efficiency, and deployment. The role involves close collaboration across hardware and software teams to deliver production-ready ML capabilities.
Required Skills
- LLM Training
- Model Optimization
- Quality Evaluation
- Distributed Infrastructure
- Hardware Architecture
- Software Engineering
- Neural Networks
- Hardware Optimization
About MatX
matx.comMatX designs high-throughput chips and systems purpose-built for large transformer AI models, dedicating every transistor to maximizing performance for large-scale training and production inference. They prioritize performance-per-dollar and scale-out—supporting clusters of hundreds of thousands of chips and targeting workloads from ~7B up to 10T-class models, with competitive latency (e.g., <10ms/token for 70B-class). MatX provides low-level hardware control for expert users and aims to dramatically reduce cost and time-to-model so researchers and startups can train and serve very large models affordably and sooner.
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