Here's the tl;dr:

• We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.

• We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!

• We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.

• We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.

What we are looking for

For this challenge we are looking for software engineers who are excited to peek out of the virtual world and join us on integrating promising ML models in a protein design platform. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity. We look for candidates who are not shy to take research papers or ML prototypes and turn them into scalable product features. Besides dealing with the ML models itself, a big part of your job will be to build the necessary infrastructure around the machine learning models to make them accessible and useful to biologists.

Responsibilities:

As a software engineer in machine learning, you would be responsible to:

• Take an algorithm from a research project and transform it into robust, well-tested, functional code

• Support the team in establishing a stable, high quality and flexible software engineering process.

• Set up validations and benchmarks to ensure a high quality of ML models.

• Collaborate with biologists, software engineers and scientists alike and learn to understand their domain

• Contribute to open source software and establish a community around Cradle and its platform

Need to have

• You have 3+ years of experience in building machine learning infrastructure

• You have proven track record of developing back-end systems in a modern cloud environment.

• Proficiency with Python or a similar dynamic programming language.

• You have strong problem solving skills, and an exquisite mastery of fundamental algorithms and data structures. You write readable code.

• You are kind and work well in teams. We look for team players who contribute to a positive and friendly working environment.

Nice to haves

• You have worked with natural language processing models or models applied to protein sequence-to-function relationships

• You have an understanding of genomics and molecular biology.

Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.

We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.

You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.

Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.