Machine Learning Engineer
AI infrastructure company that builds and operates large-scale compute and data-center infrastructure for frontier AI workloads.
Funding history
About Fluidstack
Fluidstack deploys AI compute infrastructure, including custom data centers and large-scale compute capacity, for AI labs, governments, and enterprises.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build ML and LLM systems for operational forecasting, schedule-risk detection, and vendor-document extraction. You will own models from problem framing and data through deployment, evaluation, and production iteration. You will develop guarded agentic systems and work with data engineering and product teams to integrate predictions into existing tools.
Requirements
- Experience shipping ML or LLM features to production
- Experience building model evaluation harnesses
- Experience with LLM APIs, fine-tuning, or retrieval systems
- Production-quality coding experience
- Experience with AI coding tools
Responsibilities
- Build ML and LLM systems for operational use cases
- Own models from problem framing through production iteration
- Develop forecasting, schedule-risk, and document-extraction systems
- Build agentic systems with guardrails, authorization, auditing, and evaluations
- Partner with data engineering and product teams to integrate predictions into existing tools
Benefits
- Equity