Technical Lead, Machine Learning

Overview

Lead the execution layer of machine learning, turning research and model capabilities into reliable, scalable production systems. Work 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 training and fine-tuning pipelines for large models.
• Design evaluations for capability, robustness, safety, and product performance.
• Architect inference systems and optimize latency, GPU utilization, memory, cost, and reliability.
• Build pipelines for real-world and synthetic training data.
• Deploy, monitor, and continuously improve models in production.
• 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.
• Strong technical judgment and ability to work independently on ambiguous problems.
• Production-grade coding skills with a focus on correctness and reliability.
• Experience with Python and PyTorch or JAX.

Details

• Location: Singapore.
• Interviews may be virtual and/or onsite.