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Staff Engineer, ML Models - Remote

Posted Yesterday
Software Development
Full Time
Cyprus

Overview

As a Staff Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll bring up and optimize cutting edge AI models to run on our custom AI devices. You’ll experiment, optimize, and push boundaries while solving real world problems.

In Short

  • Join a team focused on cutting-edge AI technology.
  • Work on optimizing AI models for custom AI devices.
  • Collaborate with software and hardware teams.
  • Experiment and solve real-world problems in ML.
  • Open to candidates of various experience levels.
  • Hands-on experience with Python and PyTorch required.
  • Deep understanding of ML model architectures needed.
  • Strong debugging skills to improve model performance.
  • Curiosity-driven mindset encouraged.
  • Learn to optimize ML models from application to silicon level.

Requirements

  • Experience with state-of-the-art ML models.
  • Knowledge of model optimization techniques.
  • Ability to tune architectures and boost model accuracy.
  • Stay current with ML research.
  • Collaborative mindset to work with different teams.

Benefits

  • Highly competitive compensation package.
  • Equal opportunity employer.
  • Opportunity to work on revolutionary technology.
  • Flexible work arrangements available.
  • Access to cutting-edge AI research and development.

Tenstorrent

Tenstorrent

Tenstorrent is a forward-thinking company focused on building strong relationships with investors and the financial community to achieve its business objectives. With a hybrid or remote work model, Tenstorrent operates from key locations including NYC, San Francisco, Austin, and Santa Clara. The company values diverse experience levels and emphasizes collaboration across teams, including finance, legal, and HR, to ensure effective communication and reporting. Tenstorrent is committed to providing a competitive compensation package and fostering an inclusive work environment, while also adhering to U.S. Export Control laws and regulations.

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