Applied ML Engineer — Build Scalable AI Solutions

Fireworks AI; San Mateo (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Fireworks AI in California seeks an Applied Machine Learning Engineer to bridge cutting-edge research and real-world applications. You will develop, fine-tune, and operationalize ML models that deliver business value and enhance user experiences.

This hands-on role emphasizes customer success, PoC delivery, and building AI-powered applications while contributing to the internal ML platform and model enablement. You will collaborate with GTM and engineering teams to deliver scalable solutions.

Qualifications

• Bachelor's degree in CS/Engineering or related field required.
• 5+ years in software engineering, with customer-facing experience preferred.
• Proficiency in Python and ability to lead complex projects.

Responsibilities

• Collaborate with GTM team and Solutions Architects to deploy ML solutions.
• Build and present PoCs demonstrating AI capabilities.
• Design, develop, and deploy end-to-end AI-powered applications.
• Contribute to ML platform features and fix issues.
• Integrate and enable new ML models in client environments.
• Improve performance, efficiency, and scalability of models.
• Partner with peers to enable joint AI solutions.

Skills

Customer-facing

Strong communication

Cross-functional teamwork

Leadership

Education

Bachelor’s degree in Computer Science/Engineering or related field

Master’s degree (preferred)

Tools

Python

Job description

Fireworks AI in California seeks an Applied Machine Learning Engineer to bridge cutting-edge research and real-world applications. You will develop, fine-tune, and operationalize ML models that deliver business value and enhance user experiences.

This hands-on role emphasizes customer success, PoC delivery, and building AI-powered applications while contributing to the internal ML platform and model enablement. You will collaborate with GTM and engineering teams to deliver scalable solutions.