Sr. Staff, ML Researcher - LLM Algorithmic Optimization

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.

Location: Hybrid, working on-site at our Santa Clara, CA, headquarters 3 days per week.

The role: Sr. Staff, ML Researcher - LLM Algorithmic Optimization

What You Will Do:

d-Matrix is seeking machine learning researchers to join our Algo team. We’re looking for someone to invent, design, and implement efficient algorithms that will be used to optimize large language model inference on DNN accelerators we develop. You would be part of a close-knit team of mathematicians, ML researchers, and ML engineers who create and apply advanced algorithmic and numerical techniques to the most cutting-edge and high-impact research in the overlap of mathematics, ML, and modern LLM applications.

Qualifications:

- Strong mathematical skills—MSc or PhD in math, CS, statistics, physics, or a related STEM field and 5+ years of hands-on experience

- Experience in Python and OOP code design

- Experience with transformer architecture is advantageous but not mandatory

Equal Opportunity Employment Policy

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.