Applied Machine Learning Engineer, Singapore
Fireworks AI
Applied Machine Learning Engineer, Singapore at Fireworks AI is a full time role based in Singapore, Singapore, Singapore. The listing states pay of $150k–$191k. It was published on 23 July 2026 and was open at last check.
| Role | Applied Machine Learning Engineer, Singapore |
|---|---|
| Company | Fireworks AI |
| Location | Singapore, Singapore, Singapore |
| Employment type | Full Time |
| Pay (as listed) | $150k–$191k |
| Published | 23 July 2026 |
| Status | Open at last check |
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:
- Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
- Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
- Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
- New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
- Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
- Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
- Robust coding skills required, preferably with proficiency in Python.
- Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
- Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred Qualifications:
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience working in a startup or fast-paced environment.
- Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
- Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Why Fireworks?
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
- Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
- Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Create your free OnJob profile to apply — we'll take you to Fireworks AI's application after sign-up. · Posted 23 Jul 2026.
Applied Machine Learning Engineer, Singapore at Fireworks AI — questions answered
What does the Applied Machine Learning Engineer, Singapore role at Fireworks AI pay?
The Applied Machine Learning Engineer, Singapore at Fireworks AI listing states pay of $150k–$191k for the Singapore, Singapore, Singapore position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Where is the Applied Machine Learning Engineer, Singapore role at Fireworks AI based?
Fireworks AI lists this Applied Machine Learning Engineer, Singapore role in Singapore, Singapore, Singapore, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Fireworks AI before you apply.
Is the Applied Machine Learning Engineer, Singapore role at Fireworks AI still open?
The Applied Machine Learning Engineer, Singapore posting at Fireworks AI was open at OnJob's last check of the employer's careers page, having been published on 23 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Applied Machine Learning Engineer, Singapore role at Fireworks AI?
Apply to the Applied Machine Learning Engineer, Singapore at Fireworks AI role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Fireworks AI's own application page. Creating a profile is free and needs no card.
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