Data Scientist

At Albatross, we’re building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. We have raised significant funding and our platform already operates at scale, with billions of events being processed and hundreds of millions of predictions served.

Requirements

• Design and implement machine learning models for ranking, recommendation, and personalization.
• Define feature engineering pipelines and modeling strategies for customer use cases.
• Train, evaluate, and deploy models using our internal ML tooling and infrastructure.
• Own project workstreams from data preparation through production deployment.
• Collaborate with Applied Scientists to integrate new algorithms into production systems.
• Contribute improvements to internal ML tooling and experimentation infrastructure.
• Monitor model performance and iterate based on real-world feedback.

Benefits

• Budget for learning and training
• Attend events and conferences