Fireworks AI
The Applied Machine Learning Engineer at Fireworks is responsible for end‑to‑end ownership of customer engagements, embedding with client teams to design, fine‑tune, and deploy specialized AI models. The role combines deep software engineering, machine learning, and infrastructure expertise to deliver high‑performance, cost‑effective production solutions.
Headquarters
San Mateo, California, United States
Company Size
11-50 employees
Founded
2022
Fireworks AI is a state-of-the-art training and inference platform that transforms open-source models into specialized intelligence for developers and enterprises. It offers the full spectrum of model training — from guided RL runs to custom training loops — alongside high-performance serverless and dedicated inference optimized for industry-leading throughput and latency. Fireworks also provides Fireworks Nexus, a drop-in replacement for closed-model APIs that routes to the best model for each task, enabling significant cost savings on AI workloads.
Fireworks AI bets on Hathora acquisition to power the next phase of real-time AI
1 week ago
Exclusive | AI Inference Startup Fireworks AI Is Valued at $4 Billion in Funding Round
Oct 28, 2025
Our Investment in Fireworks AI: the Inference Platform Aiming to Power Every GenAI Application
Oct 28, 2025
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 Fireworks AI.
Fireworks AI didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
Fireworks AI Raises $250M Series C to Lead the AI Inference Market
Oct 28, 2025