Role overview
- Someone who thrives in a fast-paced environment that is continuously evolving
- Deeply care about what you are working on
- Own problems end-to-end, and are willing to pick up whatever context is needed to get the job done.
- Have worked in at least one of the following fields:
- Computer Vision
- Machine Learning
- Anomaly Detection
- 3+ years of programming experience (e.g. Python, Rust)
- Experienced interacting with Mongo and AWS.
- Experienced with Datadog
- Experienced with edge computing devices
- Work with exceptional care and the ability to understand code in depth.
- Able to read and understand scientific papers, reproduce results, and transfer techniques to other domains
- Strong foundation in probability / statistics
- Are deeply curious and creative
- Are constantly thinking about edge cases
- Experience working on KYC fraud detection and other security-critical systems
What we're looking for
We're happy to leverage tools that can scale to meet the challenge (and build our own in-house if needed). That said, here's a sampling of services currently running (and planned) in production:
- Languages (Python / Rust / Go)
- Development (JupyterLab)
- Infrastructure, Storage, and Processing (MongoDB, AWS)
- Monitoring (Datadog, Streamlit)
Tags & focus areas
Used for matching and alerts on DevFound Data Science Security Rust Scientist Remote Python Aws