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Deep Learning Engineer

Focal Systems is a San Francisco based startup providing Deep Learning solutions for retailers to improve inventory management, reduce out-of-stocks, and eliminate checkout lanes. Focal is rolling out on 3 continents, deployed in 10+ retailers, and hundreds of stores.

Job Summary
We are looking for a versatile engineer who has demonstrated capabilities to develop, benchmark, and validate a wide variety of deep neural network architectures to extract knowledge and information from images in real-time.
Focal Systems is a Deep Learning first company. 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 (Keras, TensorFlow, Torch) and deploy on a diversity of hardware platforms.

Qualifications and Skills
  • Have significant experience training Deep Networks, CNNs, LSTMS
  • Experience with Keras (Tensorflow) a plus
  • 2+ years Researching CV
  • Masters or PhD in CS / EE or equivalent
  • Stellar academic performance
  • Published research in peer-reviewed journal a huge plus!

We care deeply about the health, happiness, and wellbeing of all of our employees.
  • Health Insurance
  • Catered Lunches
  • Paid Sick Leave
  • Dental Insurance
  • Vision Insurance
  • Quarterly Team Retreat