Member of Technical Staff, Applied Machine Learning Engineer

Fireworks • San Mateo, CA

1d

About The Position

As an Applied Machine Learning Engineer, you will bridge cutting-edge AI research and practical applications. You will develop, fine-tune, and operationalize machine learning models that deliver business value and improve user experiences. This hands-on engineering role combines technical expertise with a strong customer focus to deliver scalable AI solutions.

You will collaborate with go-to-market teams and partners, build and present proofs of concept, develop AI-powered applications tailored to customer needs, and contribute features and fixes to Fireworks' internal ML platform. You will also integrate new models and optimize the performance, efficiency, and scalability of deployed models and applications.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• At least 5 years of experience in a software engineering role; customer-facing experience is strongly preferred.
• Strong coding skills, preferably including proficiency in Python.
• Ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills and ability to thrive in dynamic, cross-functional teams.

Nice To Haves

• 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.

Responsibilities

• Collaborate directly with Account Executives and Solutions Architects to support smooth integration and successful deployment of machine learning solutions.
• Build and present proofs of concept that demonstrate the capabilities of Fireworks AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute features to the internal ML platform and resolve issues.
• Integrate and enable new machine learning models in the existing platform or client environments.
• Improve the performance, efficiency, and scalability of deployed models and applications.
• Work with partners to enable joint AI solutions and ensure seamless collaboration.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior