Role Overview
D Matrix is hiring a Senior Staff ML Researcher - LLM Algorithmic Optimization. This is a full-time remote role, with the team based in Santa Clara. posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
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: Senior 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 is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
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.
About D Matrix
Frequently Asked Questions
How do I apply for the Senior Staff ML Researcher - LLM Algorithmic Optimization position at D Matrix?
Use the Apply button above to submit your application directly to D Matrix. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Staff ML Researcher - LLM Algorithmic Optimization role at D Matrix remote?
Yes. This is a remote role. The team is based in Santa Clara, but the position itself does not require relocating to that office.
What does a Senior Staff ML Researcher - LLM Algorithmic Optimization at D Matrix earn?
D Matrix has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Staff ML Researcher - LLM Algorithmic Optimization role at D Matrix posted?
This role was posted on June 23, 2026 (16 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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