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, implement, and improve machine learning algorithms for recommendation and search systems.
  • Prototype and validate novel approaches using deep learning, reinforcement learning, and large language models.
  • Collaborate with Data Scientists and Engineers to generalize solutions and build shared tooling.
  • Maintain high standards for code quality and experimentation discipline.
  • Publish technical work and represent Albatross in the machine learning research community.
  • Work backward from product goals to shape algorithmic solutions.
  • Drive innovation in transformer architectures, multimodal embeddings, advanced information retrieval, and scalable retraining.

Requirements

  • PhD in Machine Learning, Computer Science, Mathematics, or a related field.
  • Proven experience developing and shipping machine learning models in production.
  • Strong Python skills.
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience reading and implementing ideas from academic papers.
  • Understanding of search, ranking, recommendation, or representation learning algorithms is a plus.
  • Publications in top ML or data science conferences such as NeurIPS, ICML, KDD, RecSys, or SIGIR are a plus.
  • Strong communication skills in English.
  • Strong collaboration skills.

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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