Applied Machine Learning Engineer

Fireworks seeks an Applied Machine Learning Engineer to turn AI research into practical, customer-focused applications. The role develops, fine-tunes and operationalizes machine learning models, delivering scalable solutions that support business needs and improve user experiences. The position is hybrid, with locations listed as San Mateo and New York.

Responsibilities

• Work with Account Executives and Solutions Architects to integrate and deploy ML solutions for customers; collaborate with partners on joint AI solutions.
• Build and present proofs of concept, and design, develop and deploy end-to-end AI-powered applications tailored to customer needs.
• Add features and fix issues in the internal ML platform; integrate new models into the platform or client environments.
• Improve the performance, efficiency and scalability of deployed models and applications.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Engineering or a related technical field.
• 5+ years of software engineering experience, with customer-facing experience strongly preferred. Strong coding skills are required; Python proficiency is preferred.
• Ability to lead complex technical projects focused on customer success, communicate effectively and work across dynamic, cross-functional teams.

Preferred qualifications

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

The role is full-time. Listed compensation is $170K–$240K with equity offered.