Deep Learning Engineer – Focal Systems

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