Software Engineer (Technical Infrastructure), London

London, England, United Kingdom

Isomorphic Labs

We’re a digital biology company here to redefine drug discovery with the power of artificial intelligence. We're glad you're here, let's get to work

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Software Engineer (Technical Infrastructure), London 

We are here to advance human health, by reimagining drug discovery with the power and pace of artificial intelligence.

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 by better and faster drug discovery. 

Our values exist in service of that future. We think they’ll help us bring it closer, too. 

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 founded in 2021 and is led by Sir Demis Hassabis. Our aim is to usher in a new era of biomedical breakthroughs and find cures for some of humanity’s devastating diseases.

Our foundations are built on the success of Google DeepMind’s AlphaFold, but we didn’t stop there! We are continuing to develop and implement state-of-the-art technologies as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients.

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

 

Your impact 

We are building the largest foundation models in biotech and applying them immediately to cure disease. You will play a key role and work at a grand scale to deliver the foundations that make this happen. By partnering with in-house machine learning experts and biotech researchers you will join a team to efficiently scale and plan the base on which our groundbreaking AI is built.

 

What you will do 

  • You will focus on the end-to-end GPU/TPU strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements. In partnership with SRE, regularly work in the environment to push and support deployments. Regularly be building, monitoring and managing cluster deployments.
  • Support the technical strategy around hardware acquisition and deployment decisions
  • Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams
  • Contribute to the efforts for consistently improving the reliability of our ML runs, particularly in partnership with SRE colleagues
  • 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 

Essential:

  • Possess real world experience of largescale AI/ML workloads
  • Have experience working in cloud compute infrastructure design, preferably GCP
  • Possess strong programmings skills
  • Have significant experience working and deploying in Kubernetes
  • Familiarity with the Nvidia GPU generations

 

Nice to have:

  • Have a background in either ML SWE or infrastructure SRE work to build on
  • Have experience leading and delivering projects to multidisciplinary stakeholders
  • Familiarity with Google TPU generations


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.


Hybrid working

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Drug discovery GCP GPU Kubernetes Machine Learning Privacy Research

Perks/benefits: Career development

Region: Europe
Country: United Kingdom

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