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AI Model Developer

2 months ago


Old Toronto, Ontario, Canada Tenstorrent Inc Full time
Job Title: Machine Learning Engineer, AI Models

As a key member of our team at Tenstorrent Inc, you will play a pivotal role in the development and deployment of advanced neural networks and machine learning models. Your expertise in Python and PyTorch will be critical in designing, training, and fine-tuning complex models that will be applied to solve real-world challenges.

This is a hybrid role based out of Toronto, ON; Boston, MA; Santa Clara, CA; or Austin, TX.

Key Responsibilities:
  • Collaborate with cross-functional teams to understand project requirements and translate them into effective AI solutions.
  • Design, implement, and iterate on neural network architectures using PyTorch to achieve optimal performance on diverse tasks.
  • Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness.
  • Investigate and troubleshoot model performance issues, iterating on models and techniques to continuously improve results.
  • Understand how models map onto the Tenstorrent devices through compilation steps and kernels, investigate any gaps in functionality and performance, propose innovative solutions to mitigate any issues.
  • Stay current with the latest research and developments in the field of machine learning and AI, applying relevant advancements to our projects.
  • 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 (or equivalent practical experience).
  • Strong proficiency in Python programming and hands-on experience with PyTorch for developing and training deep learning models.
  • Demonstrated experience in designing, training, and deploying neural networks for various applications.
  • Solid understanding of machine learning fundamentals, including supervised and unsupervised learning techniques.
  • Excellent problem-solving skills and the ability to approach challenges with creativity and a strong analytical mindset.
  • Familiarity with debugging techniques and a knack for identifying issues and finding effective solutions.
  • Experience with C++ and kernel programming, knowledge in GPU/AI-accelerator architectures are pluses but not mandatory.
  • A self-motivated individual with a strong desire to learn, explore, and excel in a fast-paced, innovative environment.
  • Strong communication skills and the ability to work collaboratively in a team setting.