Role overview
Regardless of your role, you'll have massive ownership and freedom and have the opportunity to work with a variety of technologies across the stack (and across blockchains).
What we're looking for
- Bachelor’s degree in Mathematics, Statistics, Computer Science or equivalent practical experience; Masters or PhD is preferred
- 2+ years of work experience in commercial ML context, building systems which have large datasets (high-frequency continuous training systems would be a bonus)
- Well versed in Python and have experience using query languages such as SQL
- Experience with multiple tools for running pipelines and ML orchestration - able to form judgements and recommend the right tool for each job
- Understand the concepts behind good ML experimentation and measurement
- Experience with graph databases and graph learning is preferable but not necessary.
- It is also preferable, but not necessary, to have some familiarity with blockchain concepts and data providers (e.g. Etherscan, Quicknode, Infura, Flipside, Dune)
- 👍 Significantly above market rate equity compensation package — giving you meaningful ownership is important to us
- 🧘♀️ Comprehensive health insurance
- 💻 Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need.
- 🏝️ Unlimited vacation with an enforced 20 day minimum policy: Take time off when you need it.
- ⛰️ Paid travel - team on-sites in different parts of the world, several times a year
Tags & focus areas
Used for matching and alerts on DevFound Scientist Machine Learning Ai Data Science Dev Solana Rust Python Docker Aws