You design and improve machine learning algorithms while collaborating with teams to develop solutions. Your role includes maintaining code quality, publishing research, and driving innovation across various ML areas.
Anforderungen
- •PhD in Machine Learning or related field
- •Proven experience in ML models
- •Strong Python skills with ML frameworks
- •Experience with academic papers
- •Strong communication and collaboration skills
- •Understanding of algorithms is a plus
- •Publications in top ML conferences are a plus
Deine Aufgaben
- •Design and improve ML algorithms for recommendations and search.
- •Prototype and validate approaches in bandits and deep learning.
- •Collaborate with Data Scientists and Engineers on solutions.
- •Maintain high code quality and experimentation standards.
- •Publish technical work and represent the company in ML research.
- •Guide algorithm development based on product goals.
- •Drive innovation in AutoML and scalable retraining.
Deine Vorteile
Impactful work on core technology
Scientific ownership of roadmap
Real-world application of ML
Support for research and publishing
Autonomy with mentorship and tools
Original Beschreibung
## Applied Scientist
**Location**Remote, right to work and travel in Europe. Preferably based in Switzerland, EU, or UK
**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.