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ML Models Implementation & Performance Optimization, Intern

tenstorrentuniversity
Found 1 month ago
Location
Belgrade, Serbia
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
On-site
Salary
highly competitive
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • machine learning
  • PyTorch
  • tt-metalium
  • tt-nn
  • tt-llk

Soft Skills

  • passion for programming
  • eager to learn
  • enjoy solving complex performance and optimization problems
  • collaborative
  • open to feedback
  • excited to work closely with experienced engineers
  • work closely with a dedicated mentor

Job Description

In this role, you will implement state of art ML models on Tenstorrent hardware using Python and C++, focusing on pushing both accuracy and inference speed. You will work hands-on with Tenstorrent’s open-source software stack (tt-metalium, tt-nn, tt-llk), taking models from framework to silicon and iterating on performance. You will own a well-defined engineering project under the guidance of a dedicated mentor, with direct impact on how real workloads run on our chips. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

Requirements

  • Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.
  • Solid coding skills in Python and C++, with a basic understanding of machine learning concepts and frameworks.
  • You have a passion for programming, are eager to learn, and enjoy solving complex performance and optimization problems.
  • You are collaborative, open to feedback, and excited to work closely with experienced engineers and a dedicated mentor.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning
▶Apply Now

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