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© All Rights Reserved. ApplyBlast.com
Fluidstack
Fluidstack is seeking an ML Engineer to build and deploy large language model systems that optimize internal operations, including forecasting timelines and extracting data from vendor documents. The role involves owning models end-to-end, creating evaluation harnesses, and shipping agentic systems with robust guardrails to integrate into existing product tools. Candidates must have experience shipping production ML features and working hands-on with LLM APIs, fine-tuning, and retrieval systems.
Headquarters
New York, New York, United States
Company Size
11-50 employees
Founded
2017
Fluidstack builds civilization-scale AI infrastructure, specializing in the rapid deployment of gigawatt-scale compute clusters in months rather than the industry-standard 18–24 months. The company acquires power, designs and builds data centers, and operates them end-to-end across hardware and software teams. Fluidstack is trusted by leading AI organizations such as Anthropic and Google, and is leading the deployment of Anthropic's $50B compute buildout.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Fluidstack.
70% above the average for this role