Focal Systems (51-200 Employees, 2 Yr Employee Growth Rate)

1-Year Employee Growth Rate | 2-Year Employee Growth Rate | LinkedIn | $41.9M Venture Funding

What Is Employee Growth Rate & Why Is It Important?

Job Summary

We are looking for a versatile engineer who has demonstrated capabilities to develop, benchmark, and validate a wide variety of deep learning models to achieve target F1 scores / mAP scores. Emphasis of the work will be on Temporal and Computer Vision models.

Focal Systems is a Deep Learning first company so you will be at the heart of the secret sauce! Join us in deploying Deep Learning to the world!

Responsibilities and Duties

  • Develop state-of-the-art and novel deep neural network architectures.
  • Develop training and testing pipelines to assess the performance of these architectures on relevant image processing tasks.
  • Keep up with deep learning literature and research publications in order to implement the latest techniques into our networks and pipelines.
  • Develop machine-learning algorithms on a breadth of software frameworks (TensorFlow, PyTorch) and deploy on a diversity of hardware platforms.

Qualifications and Skills

  • Have significant experience training CNNs
  • Experience with Tensorflow / Pytorch
  • 2+ years Training DL CV applications in a corporate environment
  • 2+ years of experience developing software in a corporate environment
  • Masters or PhD in CS / EE or equivalent
  • Stellar academic performance
  • Published research in peer-reviewed journal a huge plus!

Tagged as: 51-200 Employees, Hide US-Only Jobs, Venture Funded

Job Overview
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