We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits.
Cradle is building something that didn't exist a few years ago: a product that lets biologists use machine learning to design better proteins without becoming machine learning engineers themselves. That one sentence hides an enormous amount of complexity. Under the hood, a scientist is preparing data, configuring ML optimisation workflows, running experiments across rounds, and making sense of the results, work that until recently needed a dedicated computational team. Our job is to make all of that feel like one coherent product rather than a pile of tools bolted together. We sit at an unusual intersection: SaaS, machine learning, and molecular biology. The design challenge is to take one of the most complex workflows in modern science and make it legible to a domain expert who has a very high bar for clarity and very little patience for anything that gets in the way.
Our commitment to inclusive hiring Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, 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 biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of just over 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
