Software Engineer, Isomorphic Labs
Technical Infrastructure
More information about location
3 days a week in office
AI-driven drug discovery and development
Posted today
AI-driven drug discovery and development
101-200 employees
Posted today
More information about location
3 days a week in office
101-200 employees
Company mission
Isomorphic Labs' mission is to use AI and machine learning methods to accelerate and improve the drug discovery process.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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)
Salary benchmarks
Our take
The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.
Rather than bolting ML onto the existing drug discovery process, Isomorphic Labs is reimagining everything from first principles with an AI-first approach, leveraging machine learning to build predictive and generative models of biological phenomena to understand how novel drugs could perform. The company differentiates itself from other AI-driven drug discovery startups by being a direct subsidiary of Alphabet, with access to resources, computing power, and partnerships with teams within DeepMind.
AI-driven drug discovery itself may not be novel, but the approach the company is taking, as well as its direct links with Alphabet, Google, and DeepMind present great potential for the company to disrupt the market with the best talent and technology. For example, 2023 saw Isomorphic and DeepMind unveil Alphafold 3, an AI model that has the ability to predict the complex molecular structures of life's foundational building blocks, further adding to the anticipation in the industry for Isomorphic's future work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
30% female employees
Company
Funding (1 round)
Mar 2025
$600m
LATE VC
Total funding: $600m
Company values
- 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
- In this 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
Company HQ
London, UK
Articles
Leadership
Demis Hassabis
(CEO)Experience as Founder & CEO of Elixir Studios. Founder and CEO of DeepMind since 2010.
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