Sizzle is an exciting new startup that is revolutionizing the gaming industry by developing AI to automate gaming highlights directly from Twitch and YouTube streams. We are currently seeking a talented engineer with expertise in computer vision and AI technologies related to image and video analysis. As a part of our team, you will be responsible for developing computer vision algorithms to identify key moments within popular online games. You will utilize foundational technologies such as TensorFlow, OpenCV, and others to build advanced models. Additionally, you will design neural network architectures specifically tailored for image and video analysis in the realm of popular games. Your role will involve specifying precise requirements for training data sets and collaborating with analysts to create these data sets. Furthermore, you will be responsible for training final models using techniques like transfer learning and data augmentation to optimize models for deployment in a production environment. Cooperation with back-end engineers will be essential to integrate all detection algorithms into production and automate the highlight creation process. The ideal candidate possesses a strong understanding of computer vision and AI frameworks and algorithms, particularly in image and video analysis. Proficiency in Python, TensorFlow, OpenCV, and other computer vision tools is required. Familiarity with common computer vision object detection models such as Inception, R-CNN, Yolo, MobileNet SSD, and others is beneficial. A demonstrated understanding of various algorithms for image and video analysis, such as CNNs and LSTM for motion and inter-frame analysis, is essential. Experience with AWS environments is preferred. A passion for working in a dynamic startup environment, a willingness to learn quickly on the job, experiment with new approaches, and deliver results are highly valued qualities. Ideally, candidates with a background in gaming or a keen interest in watching gaming content online are encouraged to apply. Key Skills: - Machine Learning - Computer Vision - Image Processing - Neural Networks - TensorFlow - OpenCV - AWS - Python Seniority Level: Open to junior or senior engineers based on skillset rather than experience level. Salary: Commensurate with experience. We welcome applications from individuals with the relevant experience, regardless of their seniority. However, applicants without AI or computer vision experience are advised not to apply.,
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. Skills:- Computer Vision, Artificial Intelligence (AI), TensorFlow, Python, PyTorch, Neural networks and yolo
As an exciting new startup in the gaming industry, you will be part of a team at Sizzle that is revolutionizing how gaming highlights are automated from Twitch and YouTube streams using AI technology. **Key Responsibilities:** - Creating social media posts targeting gaming streamers - Conducting direct outreach to gaming streamers through platforms like Twitter, Discord, TikTok, and Instagram - Accessing all social media sites without restrictions - Assisting with various marketing tasks as assigned **Qualifications Required:** - A passion for watching video gaming content on Twitch and YouTube - Proficiency in social media platforms - Strong written English skills for crafting engaging posts - Experience in community management, particularly on Discord - Comfortable with cold outreach and generating interest in new products - Positive attitude and willingness to work hard to achieve results In addition to the job role, Sizzle is dedicated to building AI technology for automating gaming highlights directly from Twitch and YouTube videos. The company collaborates with gaming streamers, esports teams, and leagues to help them manage their social channels effectively. Explore more about Sizzle at www.sizzle.gg. Skills required for this role include proficiency in Twitter, Instagram, Social Media Marketing (SMM), Sales, Gaming, Discord, and TikTok.,