Sr. Staff, ML Researcher - LLM Algorithmic Optimization

d-Matrix

$125K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MSc or PhD in math, computer science, statistics, physics, or a related STEM field with 5+ years of relevant experience
  • Strong mathematical skills, particularly in algorithms
  • Proficient in Python and object-oriented programming (OOP) design
  • Familiarity with transformer architectures preferred, but not required

Responsibilities

  • Invent and design algorithms for optimizing large language model inference
  • Implement efficient algorithms for deep neural network (DNN) accelerators
  • Collaborate with a team of mathematicians, ML researchers, and engineers
  • Apply advanced algorithmic and numerical techniques to research
  • Engage in cutting-edge research at the intersection of math, ML, and LLM applications

Benefits

  • Hybrid working model with 3 days on-site at headquarters
  • Collaboration in a close-knit team environment
  • Opportunity to work on high-impact research projects
  • Exposure to cutting-edge technology in machine learning and AI
Full Job Description
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

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