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Fireworks is a Series D AI infrastructure platform enabling companies to build, train, and serve specialized AI models tailored to their data and workflows. Backed by AMD, NVIDIA, Sequoia, and other tier-one investors, the company is valued at $17.5B and powers production AI across text, image, embedding, audio, and multimodal workloads.
As an Applied Machine Learning Engineer, you will bridge cutting-edge AI research and real-world enterprise applications. This is a hands-on technical role combining deep ML expertise with strong customer focus to deliver scalable AI solutions.
Key responsibilities include:
- Collaborate with GTM teams (Account Executives, Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
- Build and present compelling proofs-of-concept demonstrating AI platform capabilities
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
- Contribute to the internal ML platform with new features and bug fixes
- Integrate and enable new machine learning models into platform or client environments
- Optimize system performance, efficiency, and scalability of deployed models
- Partner with external teams to enable joint AI solutions
Minimum qualifications: Bachelor's in Computer Science or related field; 5+ years software engineering experience with preference for customer-facing roles; strong Python proficiency; demonstrated ability to lead complex technical projects with customer success focus; excellent interpersonal and communication skills.
Preferred: Master's degree; startup or fast-paced environment experience; hands-on fine-tuning experience (SFT, RLHF/RFT); solid understanding of generative AI, ML principles, and enterprise infrastructure.
