Applied Scientist

Location
Remote, right to work and travel in Europe. Preferably based in Switzerland, EU, or UK

About the Team
At Albatross, we are on a mission to revolutionize user engagement. Through advanced AI-driven personalization, we generate inspiring user experiences that increase conversions and loyalty. Our founders are recognized thought leaders with a proven track record of delivering personalization solutions at leading tech companies. We are at an exciting stage, having raised significant funding to develop the most advanced recommendation platform in the market. We obsess over our customers and value excellence, ownership, speed, and above all, delivering results. Being part of Albatross means continuously learning, innovating, shaping our products, and directly impacting users. Come and join us!

About the Role
As an Applied Scientist at Albatross, you will help push the boundaries of real-time machine learning, personalization and search. This is not a paper-only research role: you will turn state-of-the-art models into product-ready capabilities that power decision-making across billions of interactions. You’ll work on foundational systems like ranking, retrieval, and user modeling—designing algorithms, prototyping new ideas, and shaping the evolution of our machine learning infrastructure. You will also contribute to the scientific roadmap, publish research, and ensure our approach remains ahead of the curve.

In This Role, You Will:

• Design, implement, and improve the ML algorithms that power our recommendation and search engine.

• Prototype and validate novel approaches in areas such as bandits, deep learning, and reinforcement learning.

• 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.

• Work backward from product goals to guide the development of algorithmic solutions.

• Drive innovation in areas like AutoML, semantic embeddings, scalable retraining, and search.

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.

• Strong communication and collaboration skills.

• 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.

Why Albatross?

• Impactful Work: You’ll work on core technology that defines the future of our platform.

• Scientific Ownership: Influence the roadmap and define where we go next.

• Real-World Scale: Apply state-of-the-art ML to real-time, high-scale systems.

• Research Culture: We value science done well and support publishing and thought leadership.

• Autonomy & Growth: You’ll have the trust, tools, and mentorship to lead complex work.

If you're passionate about applied ML, want to build the future of personalization, and thrive in a fast-moving, product-driven environment—join us. We’d love to hear from you.