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Fireworks AI Logo Fireworks AI · IT - Software Development

Applied Machine Learning Engineer

United States, New York, NY 170000.00 - 240000.00 USD / Year · Job Posted December 08, 2025
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Job Description

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.

Job Responsibility

  • Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
  • Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
  • Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
  • Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
  • New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
  • Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
  • Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
  • Robust coding skills required, preferably with proficiency in Python
  • Demonstrated ability to lead and execute complex technical projects with a focus on customer success
  • Strong interpersonal and communication skills
  • ability to thrive in dynamic, cross-functional teams

Nice to have

  • Master’s degree in Computer Science, Engineering, or a related technical field
  • Experience working in a startup or fast-paced environment
  • Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT)
  • Solid understanding of generative AI, machine learning principles, and enterprise infrastructure

What we offer

  • meaningful equity in a fast-growing startup
  • competitive salary
  • comprehensive benefits package
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