Principal Machine Learning Engineer

Overview

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

What you'll do

• Own end-to-end machine learning 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 real-world performance.
• Architect inference systems optimized for latency, GPU utilization, memory, cost, and reliability.
• Build pipelines for real-world and synthetic training data.
• Establish infrastructure for deploying, monitoring, and improving models.
• Partner with research and application engineering to improve products.

What you'll need

• Experience building and shipping production machine learning systems.
• Strong understanding of large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals.
• Experience operating GPU-based machine learning workloads at meaningful scale.
• Strong technical judgment and independent problem-solving ability.
• Production-grade coding skills with emphasis on correctness and reliability.
• Experience with Python and PyTorch or JAX.

Details

• Location: Indonesia.
• Interviews may be conducted virtually or onsite.