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Sr. Staff, ML Researcher - LLM Algorithmic Optimization

  • Remote, Canada

Remote

$175,000 to $265,000 USD / year · Full-time

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Job details

Pay
$175,000 to $265,000 USD / year
Job type
Full-time
Workplace
Remote
Experience
Strong mathematical skills - MSc or PhD in math, CS, statistics, physics, or a related STEM field and 5+ years of hands-on experience
Posting language
English
Posted

Original 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: 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 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.

More about this job

Responsibilities

Invent, design, and implement efficient algorithms to optimize large language model inference on proprietary DNN accelerators. Collaborate with a multidisciplinary team of mathematicians and engineers to apply advanced numerical techniques to cutting-edge ML research.

Requirements

Requires an MSc or PhD in a STEM field with over 5 years of hands-on experience and proficiency in Python and OOP. Experience with transformer architecture is considered advantageous.

Skills

  • Python
  • Object Oriented Programming
  • Transformer Architecture
  • Algorithm Design
  • Numerical Techniques
  • Mathematical Modeling
  • DNN Accelerators

Benefits

  • Equity
  • Bonus
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k

Visa sponsorship

Not detected in the job text

Categories

  • Science & Research
  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Generative AI
  • LLM
  • Algorithmic Optimization
  • DNN Accelerators
  • Transformer Architecture
  • Python
  • OOP
  • Mathematics
  • Computer Science
  • Statistics
  • Physics
  • Inference Optimization
  • Machine Learning Research

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