Targeted Talent

Neural Network Development Lead

Targeted Talent

Montreal

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Job Description

Job Description

Full-Time / Hybrid

Our client is a fast-growing startup focused on creating next-generation hardware AI accelerators. They are enhancing their software to ensure seamless deployment of neural networks on their innovative hardware. This role involves optimizing neural networks to leverage their architecture efficiently.

We're searching for a talented Neural Network Development Lead with a passion for developing cutting-edge neural networks. This role involves hands-on development, working with a cross-functional team, and bridging customer needs with our software and hardware capabilities. You'll enhance our Model Garden and develop custom neural networks that offer advanced functionality and performance.

Responsibilities :

  • Lead teams to deliver and implement neural network models.
  • Develop complex programs for neural net operations.
  • Optimize neural network performance and communicate strategies to the team.
  • Collaborate with future product generation architects.

Requirements :

  • Degree in Computer Science, Engineering, or related field.
  • 5+ years of AI experience.
  • Strong C++ skills and experience in high-performance code optimization.
  • Knowledge of neural network algorithms.
  • Creative problem-solving skills.

    • Preferred Skills :

  • Advanced degree in a related field.
  • Project Management certification.
  • Python experience and familiarity with AI accelerator programming.
  • Strong mathematical and communication skills.

    • Why Consider Applying?

  • Inclusive and diverse team environment.
  • Support for accommodations during the interview process and in the workplace.
  • Benefits include 20 vacation days, comprehensive health benefits, unlimited sick days, stock options, and the chance to impact the future of AI.

    • Join our client's mission to revolutionize AI with their efficient, high-performance technology. If you're passionate about AI and eager to tackle challenging problems, we encourage you to apply, even if you don't meet every requirement.