# Principal Machine Learning Engineer at Accelerant

- Company: Accelerant
- What the company does: About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers.
- Company website: https://accelerant.ai
- Type: Startups (AI role)
- Level: Principal and up
- Location: Remote (United States)
- Work setup: Remote
- Posted: 2026-08-13
- Apply by: 2026-10-08
- Apply: https://ats.rippling.com/accelerant/jobs/d1794d36-3f03-49a4-ae31-f1498cbe3b77
- Page: https://www.1752.vc/careers/jobs/accelerant-principal-machine-learning-engineer/

## About the role

We're looking for someone to own how machine learning and AI run in production at Accelerant. You'll lead a small engineering function responsible for the platform our data scientists build on. That covers data and feature pipelines, training and inference services, deployment, monitoring, and the infrastructure behind our agentic AI work. You'll set the standards, coach the team, and be accountable for the whole thing staying up.

## What they're looking for

- Substantial experience running machine learning systems in production, including everything that happens after launch
- Strong engineering foundations. Python, infrastructure as code, containers and orchestration, and depth in at least one major cloud provider with sound instincts about cost and failure modes
- Data engineering capability, pipelines, orchestration, storage and access patterns, and enough SQL to hold your own in a warehouse
- A track record of integrating systems across organisational boundaries, including the part where you have to influence teams you don't manage
- Enough statistical literacy to have a real conversation with a data scientist about whether a model is working, and to stay skeptical when the dashboards say it is
- Experience leading or coaching engineers, plus judgement about which infrastructure will pay for itself and which is merely satisfying to build

Tags: Data Science