Applied ML Engineer — Build & Deliver AI Solutions

Fireworks AI

New York (NY)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Fireworks AI in New York is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with practical, real-world applications. You will develop, fine-tune, and operationalize ML models that drive business value and deliver scalable AI solutions.

This hands-on role blends technical depth with a strong customer focus, requiring collaboration with GTM teams, solution architects, and clients to build end-to-end AI-powered applications and continuously improve the platform’s

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years in a software engineering role, preferably customer-facing.
  • Strong Python coding skills.
  • Proven ability to lead and execute complex technical projects with a customer focus.
  • Excellent interpersonal and communication skills in cross-functional teams.

Responsibilities

  • Collaborate with GTM team to ensure smooth integration and deployment of ML solutions.
  • Build and present PoCs to demonstrate capabilities of our AI tech.
  • Design, develop and deploy end-to-end AI-powered applications for customer needs.
  • Contribute to the ML platform with new features and bug fixes.
  • Integrate and enable new machine learning models in client environments.
  • Improve system performance and scalability of deployed models and apps.
  • Work with partners to enable joint AI solutions and collaboration.

Skills

Python
Customer-facing
Leadership
Communication

Education

Bachelor's degree in CS/Engineering
Master's degree in CS/Engineering

Tools

Fine-tuning ML (SFT/RLHF)

Job description

Fireworks AI in New York is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research with practical, real-world applications. You will develop, fine-tune, and operationalize ML models that drive business value and deliver scalable AI solutions.

This hands-on role blends technical depth with a strong customer focus, requiring collaboration with GTM teams, solution architects, and clients to build end-to-end AI-powered applications and continuously improve the platform’s

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