The Machine Learning team at Archipelago is looking for an experienced Senior Machine Learning Engineer comfortable designing, developing, and maintaining algorithm driven product features. We’re a small (<30) engineering team distributed around the US & Europe, with offices in San Francisco, New York, and London. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to ply their trade with like-minded people.
You -
- Are confident working within Python’s ML ecosystem
- Have taken multiple ML projects from hypothesis & data to inference in production
- Are not afraid to dig in to find a bug hiding in the dark corners of a codebase
- Know your way around AWS
- Take personal ownership of code quality
- Have more than 5 years of experience as an ML engineer
The ML Team -
- Codes in Python
- Studies with Jupyter Notebooks
- Builds in Docker
- Maintains using Terraform
- Gits on...GitHub
- Deploys on AWS
You’ll get bonus points if you -
- Have experience working on a remote team
- Previously worked in the commercial real-estate or insurance industries
Archipelago is a Silicon Valley start-up working to change how risk is insured. Our platform enables large real estate owners, managers, brokers & insurance carriers to efficiently map their portfolio, manage their risks, and underwrite them through a mix of machine learning and human intelligence. Our founders are tech & finance entrepreneurs with several IPOs and acquisitions under their belts. We are headquartered in San Francisco, have raised several rounds of VC funding, and currently employ over one hundred people across the US & Europe.
Please note that we’re only able to consider applicants based in the US, UK, or Netherlands at this time.