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Senior ML Researcher - LLM Algorithmic Optimization

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: d-Matrix
Full Time, Part Time position
Listed on 2026-06-27
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff ML Researcher - LLM Algorithmic Optimization

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.

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Position Requirements
10+ Years work experience
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