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Focal Systems over 2 years ago
all other remoteanywhere in the worldfull-timepython
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Role: Deep Learning Engineer

Location: 100% remote
Type: B2B, open-ended contract

Company Description

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
 
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.

Responsibilities

• Develop state-of-the-art and novel deep neural network architectures
• Develop training & testing pipelines to assess the performance of 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 ersity of hardware platforms
Requirements
• Masters or PhD in CS / EE or equivalent with stellar academic performance
• Have significant experience training Convolutional Neural Networks (CNNs)
• Experience with Keras (Tensorflow) / Pytorch
• Training Deep Learning Computer Vision (DL CV) applications in a corporate environment
• Startup mentality, team player and willing to work 40+ hours a week
• Published research in peer-reviewed journal a huge plus!

Why Focal Systems

Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since in¬ception.

Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional iniduals to help us redefine the state-of-the-art.

Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

Benefits 

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer: 
• Competitive Salary 
• Paid Time Off 
• Quarterly Team Retreats 
• Education grants