Staff Machine Learning Engineer

Overview

Own the execution layer of the company’s intelligence by turning research and model capabilities into reliable, scalable production ML systems. Work across data, training, evaluation, inference, and deployment in a hands-on leadership role.

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 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 production infrastructure for model deployment, monitoring, and improvement.
• Partner with research and application engineering to improve products.

What you'll need

• Experience building and shipping production ML systems.
• Strong 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.
• Technical judgment and ability to navigate ambiguous problems independently.
• Experience with Python and PyTorch or JAX.

Details

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