Sizzle
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Python
PostgreSQLSizzle 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 Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- 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
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.
For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help reach out to gaming streamers via social media, discord, and direct messaging. You will educate them on our service and help in getting them signed up.
You will:
- Create social media posts targeting streamers
- Handle direct outreach to gaming streamers (e.g. direct message) on Twitter, Discord, TikTok, Instagram or other channels
- Can access all social media sites without restrictions
- Help with other marketing tasks as directed
You should have the following qualities:
- Gamer that plays a lot of games and watches a lot of streamers
- Very well-versed in social media
- Has excellent written English and knows how to write exciting posts
- Is involved in community management, especially Discord
- Enjoys cold outreach and generating interest in a new product
- Has a good attitude
- Willing to work hard and deliver results
Work Experience: 0 years to 3 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with gaming streamers and esports teams and leagues to help them manage their social channels. Sizzle is available at http://www.sizzle.gg/" target="_blank">www.sizzle.gg.The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
React.js
Javascript
HTML/CSSSizzle.gg 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 front-end engineer that can work closely with UI/UX designers and continuously improve our site.
You will:
- Work closely with UI/UX designers and the management team to make iterative enhancements to the website, using React, HTML & CSS
- Keep iterating and improving our client video player in React and Meteor.js
- Run numerous A/B tests on the website design, layout, color scheme, button placement, images/videos, and other objects to optimize time on site and conversion
- Create other online assets in similar style, such as HTML emails, ad landing pages, and more
- Work closely with marketing and management team to ensure successful adoption of the app, and make iterative changes to make them more user-friendly
- Work with the rest of the engineering team (back-end engineers, AI engineers) to optimize the user experience across both the site and the apps
You should have the following qualities:
- Must be an expert in React.js, HTML5, HTML, CSS, and related web technologies. Ideally also have expertise in Meteor.js.
- Must have expertise in Bootstrap and have built responsive websites with high polish
- Familiarity with AWS environments
- Excited about working in a fast-changing startup environment
- Have a point of view on designs, usability, and delivering what the user wants
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
- Looking for someone in Bangalore or willing to relocate
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.
For this role, we're looking for someone that is a gaming streamer (mobile & PC), plays a variety of games, and can test out Sizzle’s various new features. Specifically, you will test each feature by streaming various games and making suggestions for improving the process. You will also test the quality of highlights produced and make suggestions for improvement. You will work closely with the AI engineering, front end, product management, and data annotation teams.
You will:
- Stream various games as requested
- Test out each feature and provide feedback on user interface and quality of output
- Watch highlights generated and make suggestions on improvement
- Suggest new features
- Work closely with the engineering, product management and annotation teams to get the features implemented
You should have the following qualities:
- Be a passionate gamer
- Must be a regular streamer on Twitch and/or YouTube
- Play a variety of popular PC and mobile games (e.g. Call of Duty: Warzone, Fortnite, Free Fire, etc).
- Willingness to work hard and hit deadlines
- Work well with people
- Interested in learning about AI and computer vision
- Willingness to learn rapidly on the job
Skills:
Gaming, streaming, AI, computer vision, quality assurance, testing
Work Experience: 0 years to 3 years
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Deep LearningSizzle is an exciting new startup in the world of gaming. At Sizzle, we’re building AI to automatically create highlights of gaming streamers and esports tournaments.
For this role, we're looking for someone that loves to play and watch games, and is eager to roll up their sleeves and build up a new gaming platform. Specifically, we’re looking for a technical program manager - someone that can drive timelines, manage dependencies and get things done. You will work closely with the founders and the engineering team to iterate and launch new products and features. You will constantly report on status and maintain a dashboard across product, engineering, and user behavior.
You will:
- Be responsible for speedy and timely shipping of all products and features
- Work closely with front end engineers, product managers, and UI/UX teams to understand the product requirements in detail, and map them out to delivery timeframes
- Work closely with backend engineers to understand and map deployment timeframes and integration into pipelines
- Manage the timeline and delivery of numerous A/B tests on the website design, layout, color scheme, button placement, images/videos, and other objects to optimize time on site and conversion
- Keep track of all dependencies between projects and engineers
- Track all projects and tasks across all engineers and address any delays. Ensure tight coordination with management.
You should have the following qualities:
- Strong track record of successful delivery of complex projects and product launches
- 2+ years of software development; 2+ years of program management
- Excellent verbal and communication skills
- Deep understanding of AI model development and deployment
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
Technical program management, ML algorithms, Tensorflow, AWS, Python
Work Experience: 3 years to 10 years
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data ScienceMachine Learning (ML)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 AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.
You will be responsible for:
Developing audio algorithms to detect key moments within popular online games, such as:
Streamer speaking, shouting, etc.
Gunfire, explosions, and other in-game audio events
Speech-to-text and sentiment analysis of the streamer’s narration
Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them
Building neural network architectures for audio 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 AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing
Experience using Python, TensorFlow and other AI tools
Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others
Nice to have: some familiarity with AI-based audio analysis including sentiment analysis
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, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python
Work Experience: 2 years to 10 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data ScienceMachine Learning (ML)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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data AnalyticsSizzle 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.
For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube. You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers.
You will:
- Gather training data as specified by the management and engineering team
- Label and annotate all the training data
- Ensure all data is prepped and ready to feed into the AI models
- Revise the training data as specified by the engineering team
- Test the output of the AI models and update training data needs
You should have the following qualities:
- Willingness to work hard and hit deadlines
- Work well with people
- Be able to work remotely (if not in Bangalore)
- Interested in learning about AI and computer vision
- Willingness to learn rapidly on the job
- Ideally a gamer or someone interested in watching gaming content online
Skills:
Data labeling, annotation, AI, computer vision, gaming
Work Experience: 0 years to 3 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg.
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