Applied Scientist

As an Applied Scientist, you will help push the boundaries of real-time machine learning, personalization and search. You will design state-of-the-art algorithms and turn them into product-ready capabilities that power decision-making across billions of interactions.

Requirements

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

Benefits

• Budget for learning and training
• Attend events and conferences