Applied ML Engineer - Build & Deploy Customer AI Apps

Fireworks; San Mateo; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Fireworks is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with real-world deployments. You will develop, fine-tune, and operationalize ML models that drive business value and enhance user experiences.

This hands-on role emphasizes customer success, PoC work, and end-to-end app building, with strong emphasis on performance and scalability within enterprise AI contexts.

Qualifications

• Bachelor's degree in CS or related field.
• 5+ years in software engineering with a customer-facing focus.
• Strong Python coding skills.
• Proven ability to lead and execute complex technical projects.
• Excellent communication and collaboration skills.

Responsibilities

• Collaborate with GTM team to ensure smooth integration and deployment of ML solutions.
• Create and present PoCs to demonstrate capabilities of AI technology.
• Design, develop, and deploy end-to-end AI-powered applications for customer needs.
• Contribute to the ML platform with feature work and bug fixes.
• Integrate and enable new ML models into existing platforms or client environments.
• Improve system performance, efficiency, and scalability of models and apps.
• Collaborate with partners to enable joint AI solutions and ensure seamless collaboration.

Skills

Python

Customer-facing

Leadership

Software engineering

Cross-functional teams

Education

Bachelor’s degree in Computer Science or related field

Job description

Fireworks is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with real-world deployments. You will develop, fine-tune, and operationalize ML models that drive business value and enhance user experiences.

This hands-on role emphasizes customer success, PoC work, and end-to-end app building, with strong emphasis on performance and scalability within enterprise AI contexts.