Browse All Jobs

Machine Learning Engineer, AI Models at Tenstorrent

Machine Learning Engineer for AI models, Warszawa, Poland.
Hybrid
Poland
Undisclosed salary
Tenstorrent is seeking a Machine Learning Engineer to contribute. This role is focused on AI models and will be based in Warsaw, Poland, on a hybrid work arrangement.

Responsibilities:
  • Collaborate with cross-functional teams to understand project requirements.
  • Design, implement, and iterate on neural network architectures using PyTorch.
  • Train, validate, and fine-tune machine learning models using relevant datasets.
  • Investigate and troubleshoot model performance issues.
  • Understand how models map onto Tenstorrent devices.
  • Stay current with the latest research and developments in the field of machine learning and AI.
  • Contribute to the design and implementation of scalable and efficient AI pipelines.
  • Work closely with engineers to integrate AI models into production systems.


Requirements:
  • Bachelor's or higher degree in Computer Science, Engineering, or related field.
  • Strong proficiency in Python programming and hands-on experience with PyTorch.
  • Demonstrated experience in designing, training, and deploying neural networks.
  • Solid understanding of machine learning fundamentals.
  • Excellent problem-solving skills and the ability to approach challenges with creativity.
  • Familiarity with debugging techniques.
  • Strong communication skills and the ability to work collaboratively in a team setting.


Tenstorrent offers:
  • A highly competitive compensation package and benefits.
Apply

Tenstorrent

Tenstorrent is an AI technology company focused on revolutionizing performance, usability, and cost efficiency. They are developing a comprehensive AI platform, unifying advancements in software models, compilers, platforms, networking, and semiconductors. The company has developed a high-performance RISC-V CPU and is committed to building innovative AI solutions. Tenstorrent values collaboration, curiosity, and solving complex challenges within the high-growth, international AI landscape. They manage significant cash portfolios, navigate international banking, and prepare for potential IPO readiness, demonstrating maturity as a company.