Senior Deep Learning Engineer - Europe

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Poland
Internship
Retail
The Role

Role:          Senior Deep Learning Engineer
Location:    Europe - fully remote
Type:          This can be structured as a B2B contract at $135k - 165k USD annually + stock options or as an Employment Contract with full benefits at $115k - 136k USD + stock options

Who We Are
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.

What we are looking for
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. 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! 

What you will do
•    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 diversity of hardware platforms

What you need to be successful
•    Masters or PhD in CS / EE or equivalent with stellar academic performance
•    6+ years of Machine Learning/Deep Learning experience in a corporate environment (post academia)
•    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 strong work ethic to completing assigned tasks and projects within established deadline
•    Published research in peer-reviewed journal is a plus.

Occasional business trips to Poland (on average once per quarter).

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 inception.

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 individuals 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.

What we offer
We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:    
•    Competitive salary
•    Stock options package
•    Quarterly team retreats
*Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process. It is rare to receive an offer at the top of the range for a role.

The Company
HQ: Burlingame, CA
53 Employees
On-site Workplace
Year Founded: 2015

What We Do

Focal Systems’ platform helps retailers cut shelf scanning cost in half by switching from manual to automated shelf scans.

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