Research Engineer

Albatross AI; Zürich; Remote; CHF 80’000 - 120’000; Vollzeit

Zusammenfassung

A leading technology firm in Zurich is looking for a Research Engineer to scale their AI personalization engines. The role involves optimizing training pipelines and collaborating with scientists to bring models into production. Ideal candidates have a strong software engineering background, proficiency in Python and/or Rust, and a good understanding of machine learning workflows. This position offers flexible remote work within Europe and opportunities for ongoing learning and training.

Leistungen

Flexibility to work from anywhere in Europe

Budget for learning and training

Qualifikationen

• Strong software engineering background, fluent in Python and/or Rust.
• Good understanding of machine learning concepts.
• Familiarity with cloud platforms essential.

Aufgaben

• Develop and optimize distributed training pipelines for models.
• Build and maintain high-performance ANN/vector storage systems.
• Drive hyperparameter optimization to improve model performance.

Kenntnisse

Python

Rust

Machine learning concepts

Cloud platforms (AWS, GCP, Azure)

Collaboration

Strong communication

Jobbeschreibung

Location

Remote, right to work and travel in Europe.

Albatross

At Albatross, we are reinventing user engagement. Through advanced AI-driven personalization, we generate compelling user experiences that increase conversions and loyalty. We have the resources to build the most advanced foundational models for personalization, powered by a highly qualified team and guided by expert founders.

The Role

As a Research Engineer at Albatross, you will be at the core of scaling our personalization engines. You will design and optimize training pipelines for large-scale models, build high-performance ANN/vector stores, and drive experimentation through hyperparameter optimization. Your work will directly enable scientists to push the boundaries of AI research and bring advanced models into production. More specifically you will:

• Develop and optimize distributed training pipelines for large-scale deep learning models.
• Build and maintain high-performance ANN/vector storage systems.
• Drive hyperparameter optimization workflows to accelerate experimentation and improve model performance.
• Collaborate with Applied Scientists to translate research prototypes into production-ready pipelines.
• Write clean, efficient, and maintainable code with a focus on performance and scalability.

Requirements

• Strong software engineering background, with fluency in Python and/or Rust.
• Good understanding of machine learning concepts and workflows.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Ability to collaborate closely with scientists and translate research needs into engineering solutions.
• Curiosity, adaptability, and eagerness to learn new tools and techniques.
• Strong communication skills in English.

Compensation and Benefits

• Flexibility to work from anywhere across Europe.
• Budget for learning and training, attend events and conferences.