Capsule is a mobile app that makes it easy to save and buy the things you find on any social media platform. Just snap a screenshot of anything you like, from any platform, and we search the entire internet to instantly give you shoppable links.
Instead of searching hundreds of websites and sifting through thousands of products on your own, CAPSULE lets you find inspiration from anywhere and uses advanced machine learning to return results that feel like magic.
Skills: Python, Computer Vision, Machine Learning
Are you looking to get startup experience? We’re looking for a Computer Vision AI / Machine Learning graduate student to help build our recommendation engine with image recognition models. This role is part-time, hourly and expected to last ~3 months.
What you’ll be doing
- Help create robust evaluation and training data sets to use in our models
- Lots of trial and error with testing existing computer vision models on our data sets
- Decide on the best cutting edge models to use to successfully rank our results
- Working closely with the tech team, including our data science advisor, Brad Klingenberg (Stanford PhD & former Chief Algorithms Officer at Stitch Fix)
Minimum requirements for the role:
- MS or PhD candidate in engineering or a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, etc.)
- Hands-on experience training and evaluating modern computer vision algorithms in Python (using Hugging Face, TensorFlow, PyTorch, etc.)
- Familiarity managing machine learning code in GitHub
An ideal candidate also has:
- Deep experience with image classification and similarity models
- Familiarity with AWS Textract and OCR
- Desire to work at an early startup and make a huge impact
Please include your resume in your application if you’re interested.
