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 are we and Why Yulu for you?Yulu's vision is to reduce traffic congestion by providing a scalable, affordable, efficient and clean solution for the first mile, last mile and short distance commute. We strongly believe that short commute mode can be made more Efficient, Affordable and GREEN, thereby ensuring that future generations will have a healthy environment to live. We want to replace big personal vehicles with a smaller form factor that does not require fossil fuel. Yulu uses IoT technology to create a vast network of shared bikes that can be rented easily by user-friendly app in pay per use business model.We are a mission driven company based out of Bangalore with a solid founding team and big ambitions. At Yulu we believe that every day is a mission and success is exciting when its attained with fun and as a team. If you want to solve the problem of traffic congestion, reduce pollution, positively impact the society and be part of an international dynamic team, join us in our journey to shape better India for our future generations.Responsibility Collaborate with members from a variety of teams to improve decision making and boost performance across the company Evaluate, adapt new and improved data storage and analytics approaches with the vision of creating innovative data driven insights at the quickest pace possible Develop new ways for modeling and predicting commute patterns as well as summarize, visualize and present key findings with all stakeholders. Skills required Problem solving using Supervised & Unsupervised algorithms in scikit-learn and TensorFlow Experience programming in Python and data-wrangling using Excel, SQL, Pandas and Jupyter notebook Experience using Apache Spark, Apache Kafka and relevant Big Data tools Experience working with Timeseries and Geospatial datasets would be wonderful Good understanding of statistics to help make decisions and design/evaluate experiments Experience & Qualification 2+ years of real-world Data Science experience Bachelor's in Computer Science or in a relevant field