Applied Machine Learning Engineer
AI summary of the role
Applied ML engineer bridging research and production at an AI inference cloud.
What you’ll do
- Collaborate with GTM team (AEs and Solutions Architects) to ensure smooth integration and deployment of ML solutions
- Build and present compelling Proof of Concepts (PoCs) demonstrating AI technology capabilities
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
- Contribute to internal ML platform features and bug fixes
What you’ll bring
- Bachelor's degree in CS, Engineering, or related field
- 5+ years software engineering experience, customer-facing preferred
- Robust coding skills, preferably Python
- Demonstrated ability to lead complex technical projects with customer success focus
Technologies
Python · fine-tuning · SFT · RLHF · RFT · generative AI · machine learning · enterprise infrastructure
About Fireworks AI
Inference cloud for open-source generative AI models with fine-tuning, RL, and evals; powers production AI for Cursor, Notion, Uber, DoorDash.
Series C
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