Software Engineer (Reliability Engineering), London

Software Engineer (Reliability Engineering), London

London

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

About Iso

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Software Engineer (Reliability Engineering), London

Your impact

We are building the largest foundation models in biotech and we’re immediately applying them to directly cure disease. You will play a key role in making sure that our model training is reliable and we accelerate our progress with scaling the models and its usage. You will also build tools and processes to continue the scaling.

What you will do

• Contribute to the technical strategy for consistently improving the reliability for our training runs
• Build and operate processes and tools for effective software development practices
• Build and operate processes and tools for effective operational management of research and production software
• Operate and handle research, development, and production cloud infrastructure and systems
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
• Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills and qualifications

• Experience with on Google Cloud Platform or other cloud-based platforms
• Experience with monitoring & alerting systems
• Experience with Docker, Kubernetes, Terraform and at least one major Cloud Platform
• Experience with CI/CD, Release management and DevOps related technologies
• Experience with Grafana/Prometheus/Splunk or similar monitoring/observability technologies
• Comfortable with Shell Scripting and Python programming (or other programming languages)
• Experience building secure/scalable platforms/products on cloud
• Practical experience with modern SRE lifecycle, tools, and frameworks

Nice to have:

• Experience building, deploying and maintaining production systems on GCP
• Worked with large scale ML operations
• Strong foundations in software engineering before moving into a technical operations role
• Experience supporting both production systems and Machine Learning team/pipelines
• Comfortable with identifying security and performance risks and implementing measures to mitigate them
• MLOps frameworks and tooling experience are highly desirable
• Basic knowledge of biology / chemistry
• Pharma and/or biotech experience, ideally with a focus on drug discovery
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience

Culture and values

We are guided by our shared values. It\’s not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.

Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We\’re building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy .

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We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are working to build teams that reflect and represent the populations we are striving to serve. As part of this effort we would like to better understand our candidate audience, so that we can continue to improve.

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