Member of Technical Staff, Machine Learning

Overview

Build and improve machine learning components for real production systems, spanning data, training, evaluation, and inference.

What you'll do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models within 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.
• Collaborate 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.
• Python skills.
• Experience with PyTorch or JAX.
• Ability to work through ambiguity with guidance and grow ownership over time.

Details

• Location: Spain.
• Production ML systems run on GPUs.
• Interviews may be virtual and/or onsite.