Albatross AI

Albatross AI

Albatross AI AG is a Swiss AI company founded in 2024 by former Amazon AI leaders Dr. Kevin Kahn and Dr. Matteo Ruffini, along with entrepreneur Johan Boissard. Based in Zug with an office in Zurich, the company specializes in a platform for real-time discovery and personalization using advanced sequential embedding models trained on live events. The company addresses the limitations of traditional recommendation systems by enabling AI that adapts instantly to user behavior and dynamic catalog changes. Albatross processes over 1 billion events and 100 million products monthly, delivering hundreds of millions to billions of predictions with low-latency inference. Its offerings include a real-time discovery feed that surfaces contextually relevant content and an AI-driven search that understands evolving user intent. Albatross serves large marketplaces, significantly enhancing user engagement and experience.

information technology & services
11-50
Founded 2024
$16M raised

Description

  • 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 internal ML tooling and infrastructure.
  • Own ML project workstreams end-to-end from data preparation through production deployment.
  • Collaborate with Applied Scientists and Engineers to translate product and customer needs into scalable ML solutions.
  • Integrate new algorithms into production systems with Applied Scientists.
  • Contribute improvements to internal ML tooling and experimentation infrastructure.
  • Monitor model performance and iterate based on real-world feedback.

Requirements

  • Bachelor's degree in Machine Learning or a STEM field.
  • Strong background in machine learning, statistics, or data science.
  • Solid programming skills in Python.
  • Experience training and deploying ML models in production environments.
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience working with large-scale datasets and feature engineering pipelines.
  • Ability to work independently on moderately complex ML problems.
  • Strong communication skills in English.
  • Experience with recommender systems, ranking models, or search is preferred.
  • Experience with large-scale experimentation and evaluation pipelines is preferred.
  • Familiarity with learning-to-rank models, bandits, or reinforcement learning is preferred.
  • Experience working with cloud environments such as AWS, GCP, or Azure is preferred.

Benefits

  • Flexibility to work from anywhere across Europe.
  • Budget for learning and training.
  • Support to attend events and conferences.

Interested in this position?

Apply directly on the company website

Apply Now

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