Applied Scientist

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

Requirements

• Design, implement, and improve the ML algorithms that power our recommendation and search engine.
• Prototype and validate novel approaches in areas such as deep learning, reinforcement learning and LLMs.
• Collaborate with Data Scientists and Engineers to generalize solutions and contribute to shared tooling.
• Maintain a high standard of code quality and experimentation discipline.
• Publish technical work and help represent Albatross in the ML research community and ensure our approach remains ahead of the curve.
• Work backward from product goals to guide the development of algorithmic solutions.
• Drive innovation in areas such as transformer architectures, multimodal embeddings, advanced information retrieval, and scalable retraining.
• 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