Member of Technical Staff, Machine Learning

Overview

Build and improve machine learning components for production systems, covering data, training, evaluation, and inference. The role involves shipping, debugging, and iterating on ML systems under latency, cost, reliability, and safety constraints.

What you'll do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models for production systems.
• Implement evaluation and testing to understand model behavior.
• Build and maintain pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship iterative improvements based on real user feedback.
• Collaborate with ML engineers and product teams.

What you'll need

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Production-quality coding skills.
• Python experience.
• Experience with PyTorch or JAX.
• Ability to work through ambiguity with guidance and grow ownership.

Details

• Location: Singapore.
• Production ML systems run on GPUs.
• Interviews may be conducted virtually or onsite.