Machine Learning Engineer
FluidStack — Austin, Texas, United States · In-Person · Junior
Role description
Role Overview
We're building civilization-scale infrastructure for AI, and we need a Machine Learning Engineer to help us deliver 10 to 100s of GWs of compute faster than anyone else. You'll be working on building ML and LLM systems, owning models end to end, and shipping agentic systems with real guardrails.
What You Will Do
Your day-to-day responsibilities will include building evaluation harnesses, working with LLM APIs, fine-tuning, or retrieval systems on real business problems, and writing production-quality code.
Why It Might Be a Fit
We're looking for someone who has shipped ML or LLM features to production, worked hands-on with AI coding tools, and can reach for the simplest model that works and defend the choice.
Requirements
- Shipped ML or LLM features to production and owned them after launch
- Built evaluation harnesses that told you the truth about model quality before users did
- Worked hands-on with LLM APIs, fine-tuning, or retrieval systems on real business problems
- Write production-quality code and work fluently with AI coding tools
Benefits
- Pay equity and transparency