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We offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia.
Job Responsibility:
Designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users
Architecting the ways in which we manipulate and store biological sequence data, e.g. with consideration for how to efficiently represent the full variety of biochemicals
Architecting the APIs across which we interact with machine learning models, e.g. with consideration for how to version access over time
Providing technical leadership for a high-quality software engineering process
Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains
Requirements:
Extensive industry experience in developing back-end systems in a modern cloud environment
The Python programming language and its ecosystem (FastAPI, uv, ruff, pyright, …)
Databases and big data systems
Production systems for machine learning applications
Building containerized backend systems. (Docker, Kubernetes)
Highly-available distributed cloud systems
You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment
Nice to have:
Prior biological experience is nice but not required