ML Platform Engineering Lead, Isomorphic Labs
25% bonus, Isomorphic Labs equity options, wide ranging benefits package
More information about location
3+ days a week in office (Kings Cross, London)
AI-driven drug discovery and development
Open for applications
AI-driven drug discovery and development
101-200 employees
Open for applications
25% bonus, Isomorphic Labs equity options, wide ranging benefits package
More information about location
3+ days a week in office (Kings Cross, London)
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
- Strong foundations in software engineering with previous experience operating as a senior individual contributor with software architecture skills
- Strong experience with platform engineering
- Experience with a variety of infrastructure frameworks
- Experience with the full ML development lifecycle
- Experience working with and leading cross functional teams
- Experience partnering with research and product teams
- Experience building secure/scalable platforms/products on cloud
- Experience building, leading and coaching high performing, diverse engineering teams of ideally 5+ people
- Exposure to modern DevOps and SRE best practices
Desirable
- Pharma and/or biotech industry experience, ideally with a focus on drug discovery
- Familiarity with ML accelerator hardware
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
What the job involves
- As an Engineering Lead, you will build, grow and lead a talented team of platform engineers and software engineers
- Working closely with the ML Research team, you and your team will develop an infrastructure platform for deploying and scaling cutting edge machine learning models and algorithms
- You’ll be developing these through all stages from research grade to real world production use in pursuit of groundbreaking bio-pharmaceutical discoveries
- This newly created role will require you to draw on your extensive experience and offers an exciting opportunity to carve out your contribution in this entrepreneurial environment
- This will include working with other Software Engineering Leads to develop a new platform that underpins the company technology and business strategy
- Create a platform for the ML Research team to conduct and accelerate ground-breaking research
- Ensure the models meet a high engineering standard with respect to architecture, scalability, maintainability and other operational characteristics
- Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
- Build a high performing, nimble team of ML software engineers and platform engineers
- Provide technical leadership to the organisation and own 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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