Staff Machine Learning Engineer

Overview

Own the execution layer of machine learning systems, turning research and model capabilities into reliable, scalable production systems. Work hands-on across data, training, evaluation, inference, and deployment.

What you'll do

• Own end-to-end ML systems from data and training through evaluation, inference, and deployment.
• Build and evolve training and fine-tuning pipelines for large models.
• Design evaluations for capability, robustness, safety, and product performance.
• Architect inference systems for latency, GPU utilization, memory, cost, and reliability.
• Build real-world and synthetic training-data pipelines.
• Establish production infrastructure for deployment, monitoring, and model improvement.
• Partner with research and application engineering to improve products.

What you'll need

• Experience shipping production ML systems, not only research prototypes.
• Understanding of large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals.
• Experience operating GPU-based ML workloads at meaningful scale.
• Strong technical judgment and independent problem-solving ability.
• Python and PyTorch or JAX experience.
• Production-grade coding skills with a focus on correctness and reliability.

Details

• Location: Singapore.