Applied Machine Learning Engineer, Singapore

Singapore FullTime

Posted 1mo ago

Remote Work Policy

On-site

Employment Type

FullTime

Categories

Machine Learning Engineer

About the job

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.

Responsibilities

  • Collaborate with GTM teams to ensure smooth integration and successful deployment of ML solutions.
  • Build and present compelling Proofs of Concept (PoCs) demonstrating AI capabilities.
  • Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
  • Contribute to the internal ML platform by adding features and resolving issues.
  • Integrate and enable new machine learning models into the platform or client environments.
  • Improve system performance, efficiency, and scalability of deployed models and applications.
  • Work with partners to enable joint AI solutions and ensure seamless collaboration.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in a software engineering role, preferably customer-facing.
  • Robust coding skills, preferably in Python.
  • Demonstrated ability to lead and execute complex technical projects with a customer success focus.
  • Strong interpersonal and communication skills.
  • Ability to thrive in dynamic, cross-functional teams.
  • Master’s degree in Computer Science, Engineering, or a related technical field (preferred).
  • Experience in a startup or fast-paced environment (preferred).
  • Hands-on experience fine-tuning machine learning models, including SFT and RLHF/RFT (preferred).
  • Solid understanding of generative AI, machine learning principles, and enterprise infrastructure (preferred).

Benefits

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure.
  • Build What’s Next: Work with bleeding-edge technology.
  • Ownership & Impact: Join a fast-growing team where your work directly shapes the future of AI.
  • Learn from the Best: Collaborate with world-class engineers and AI researchers.

About fireworks ai

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.