Principal Machine Learning Engineer

BJAK

Building production-grade machine learning systems for an AI project in Singapore. Involves machine learning pipeline ownership and collaboration with engineering teams.

Posted 4/11/2026full-timeRemote • 🇸🇬 SingaporeLeadWebsite

Tech Stack

Tools & technologies

PyTorchRay

About the role

Key responsibilities & impact

Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect and operate scalable inference systems, balancing latency, cost, and reliability.
Design and maintain data systems for high-quality synthetic and real-world training data.
Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
Work under real production constraints: latency, cost, reliability, and safety

Requirements

What you’ll need

Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.
Experience with GPU optimization, including memory efficiency, quantization, and mixed precision.
Comfort owning ambiguous, zero-to-one ML systems end-to-end.
A bias toward shipping, learning fast, and improving systems through iteration.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningtransformer-based architecturesmodel fine-tuningmodel deploymentGPU optimizationdistributed trainingevaluation pipelinesquantizationmixed precision

Soft Skills

collaborationproblem-solvingadaptabilitypragmatic decision-makingiterationownershipcommunicationlearning fasttrade-off analysissystem improvement