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React.js
NextJs (Next.js)
NodeJS (Node.js)Job Title: Full Stack Developer
Location: India - Remote, Full-time- Overlapping US Hours
Experience: 3-5 years
About Us:
We’re a tech-powered, early-stage game publishing startup helping indie game studios craft data-driven marketing strategies at a fraction of traditional costs. Backed by a vision to redefine how game marketing is done, we're building something fresh — blending smart tech with deep industry insight.
Role Overview:
We’re hiring our first Full Stack Developer to join the founding team and own the technical build-out of our MVP. You'll shape features, enhance UX, stabilize infrastructure, and lay the foundation for scale. If you love indie gaming, early-stage energy, and end-to-end ownership — this one's for you.
What you'll do:
- Refine and document platform architecture
- Enhance UI/UX, optimize filters, tabs, and layout
- Debug & fix existing bugs, improve platform stability
- Build web scraping pipelines to process market signals
- Scale database structures and information pipelines
- Strengthen security stack and recommend best practices
- Collaborate on product planning, plug-in tools, and future features
What we are looking for:
- 3–5 years’ experience in full stack development
- Proficiency in React, Next.js, Node.js
- Strong knowledge of AWS infrastructure and deployment
- Experience in data engineering & database architecture
- Exposure to NLP libraries, Python-based AI tools, or sentiment analysis
- Comfort working independently in a fast-moving startup environment
- Passion for indie games and/or marketing strategy
Data Science
Machine Learning (ML)● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
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.
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