Senior Deep Learning Engineer @ Focal Systems

Job title:

Senior Deep Learning Engineer @ Focal Systems

Company:

Focal Systems

Job description

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 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 huge plus!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.We have a very strong team of Engineers in Poland.Contract 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***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. ,[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] Requirements: Python, Machine learning, TensorFlow, Keras, PyTorch, OpenCv, Computer Vision, SQL, Cloud, PhD Tools: Jira, Confluence, GIT. Additionally: Training budget, Flat structure, Small teams, International projects, No dress code, Startup atmosphere, In-house hack days.

Expected salary

Location

Polska

Job date

Tue, 26 Nov 2024 23:14:24 GMT

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