Lead Engineer, Machine Learning

Overview

Lead the execution layer of machine learning intelligence by turning research and model capabilities into reliable, scalable production systems. Own work 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 product performance.
• Architect inference systems while optimizing 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 turn model capabilities into product improvements.

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 machine learning workloads at meaningful scale, especially GPU-based systems.
• Ability to navigate ambiguous problems independently with strong technical judgment.
• Proficiency with Python and PyTorch or JAX.
• Experience building or shipping real machine learning systems used by people.

Details

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