Applied Machine Learning Engineer
SGD 150,000 – SGD 191,000 / yr base salary
Posted 23 Jul 2026
Advertised as “Member of Technical Staff, Applied Machine Learning Engineer, Singapore”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | SGD 150,000 – SGD 191,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
Field of studyComputer Science, Engineering (or related)
Study levelMaster's
About Us:
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The Role:
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.
Key Responsibilities:
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Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
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Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
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Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
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Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
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New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
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Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
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Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Minimum Qualifications:
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Bachelor’s degree in Computer Science, Engineering, or a related technical field.
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5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.