Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.
You will be responsible for:
- Developing computer vision algorithms to detect key moments within popular online games
- Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
- Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
- Specifying exact requirements for training data sets, and working with analysts to create the data sets
- Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
- Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation
You should have the following qualities:
- Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
- Experience using Python, TensorFlow, OpenCV and other computer vision tools
- Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
- Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
- Familiarity with AWS environments
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Skills:
Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python
Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

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About Freespace* (a.k.a. Workplace Fabric)
Workplace Fabric develops solutions that makes workplaces intelligent. Our solutions help increase productivity of office workers while helping to lower the cost of real estate. Our Flagship
product Freespace is installed in over 40 cities around the world and serves over 30,000 people every day. Starting with the first deployment in March 2016 we have rapidly grown with our solution being rolled out globally while continuing to stay cash positive. With successes at several blue-chip clients Workplace Fabric has carved a unique leadership position in workplace management and employee engagement SaaS solutions.
*To find out more, follow us on social media – LinkedIn & Facebook @ workplace-fabric
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Experience: 6-10 years
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Page Break
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