As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.
Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
Turn research ideas into working systems that run reliably in production.
Debug model failures and system issues using real production signals.
Collaborate closely with research, product, and engineering to deliver real user impact.
Work under real production constraints: latency, cost, reliability, and safety
Tech Stack
Python
PyTorch / JAX
GPU-based training and inference systems
You understand how modern ML models behave — and misbehave — in production.
You write strong,



production-quality code and think in systems, not scripts.
ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
Complex production issues are monitored, debugged, and resolved with minimal disruption.
Training, inference, and data pipelines are robust, scalable, and maintainable over time.
Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Interviews will be conducted via virtual meetings and/or onsite.

📌 Machine Learning Engineer, Senior (España)
🏢 ActAI
📍 España