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Data ScientistAlbatross AI • New Bremen, Ohio, United States
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Data Scientist

Albatross AI
  • US
    New Bremen, Ohio, United States
  • US
    New Bremen, Ohio, United States
Jetzt Bewerben

Über

Albatross
At Albatross, we're building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real-time, in-session discovery by adapting to evolving user interests, 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. Location
Remote in Europe.
Albatross
At Albatross, we're building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real-time, in-session discovery by adapting to evolving user interests, 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.
The Role
As a Data Scientist, you will design and deploy machine learning models that power real-time personalization for our customers. You will own defined workstreams of ML projects end-to-end, and you will work closely with Applied Scientists and Engineers to translate product and customer needs into scalable ML solutions. More specifically, you will:
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
Requirements
Bachelor's degree in Machine Learning or STEM 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
Nice to Have
Experience with recommender systems, ranking models, or search Experience with large-scale experimentation and evaluation pipelines Familiarity with learning-to-rank models, bandits, or reinforcement learning Experience working with cloud environments such as AWS, GCP, or Azure
Benefits
Flexibility to work from anywhere across Europe Budget for learning and training, attend events and conferences
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  • New Bremen, Ohio, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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