Intelligent Personal Cloud Storage. Backed by Y Combinator and Felicis.
About the role
We are looking to grow from a team of three (we've accomplished a lot as just two engineers and one designer!) to a clan of around eight, so you'll be anywhere from engineer #3 to #7. You'll be tasked with bringing Poly to life as a robust platform, shaping our cloud architecture to store files at breathtaking speed and scale, and improving our AI architecture to become the "search engine for your life".
What they're looking for
- Core AI principles and fundamentals around training, inference, loss, gradient descent, embeddings, tokenization and a strong baseline in multivariate statistics
- Extensive experience with modeling / inference tools such as pytorch and CUDA
- Ability to build data pipelines for loading and transforming data with high throughput to a training or inference platform
- Familiarity with modern LLM-based development fundamentals including prompting, function calling, and agentic workflows
- Knowledge of Python is a must, and enthusiasm for Rust is highly encouraged
- An extreme appetite for learning that you've honed through recursive self-improvement. You should be able to demonstrate an exceptional aptitude for automating your own development processes
More about this role
Poly is building a better file storage platform for everyone. We've raised $8M from YC, Bloomberg Beta, Felicis, Figma Ventures, AI Grant, and more, and we're looking to grow our founding team of superstar builders and dreamers.
Poly’s intelligent file system is a desktop and web application that lets you store and browse your files with the help of a powerful multimodal AI. An easy way to wrap your head around it is to check out a demo from Abhay
We are adamant that Poly is the future way to store files for everyone because:
- Our product is intelligent -- all your files are indexed and searchable with an AI that can find and even sort and organize your files, search by image and many other file types, and soon ask questions about your files and watch as an AI system references your own files to give an answer.
- We’re maximally multimodal. We support any audio, video, document, office file, slide deck, text file, PDF, and a whole lot more. We even support saving web links and youtube videos to your Poly file system and asking the AI about them.
- We’re completely, 100% cross-platform -- Our product looks identical across web and desktop, with zero compromises in the UI/UX, and...
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