Member of Technical Staff, Machine Learning

Overview

Build and operate core machine learning components in production systems, with responsibility spanning model development, evaluation, data, and inference.

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 data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship iterative improvements using real user feedback.
• Work with ML engineers and product teams under latency, cost, reliability, and safety constraints.

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.
• Experience or willingness to work with Python.
• Experience or willingness to work with PyTorch or JAX.
• Ability to work through ambiguity with guidance and grow ownership over time.
• Ability to work with production ML systems running on GPUs.

Details

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