Software Engineer, Isomorphic Labs
Applied ML Research Engineering
3+ days a week in office
AI-driven drug discovery and development
Job no longer available
AI-driven drug discovery and development
101-200 employees
Job no longer available
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
- Deep experience with developing large-scale machine learning models
- Significant experience with solving real-life challenges with ML models and techniques
- Experience with modern ML frameworks including at least one of JAX, PyTorch or TensorFlow
- Experience with the full ML research and development lifecycle
- Experience partnering with research and product teams to prototype and ideally productionise ML models
- Strong software engineering experience with software design / architecture skills
- Extensive programming experience using any mainstream programming languages, including strong Python experience
- Strong understanding of ML theory and applications
- Strong understanding of data structures and algorithms
- Either a Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
Desirable
- Interest in chemistry and biology
- Experience working with biomedical data
- Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
- Experience developing user facing production code
What the job involves
- Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation
- This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution
- Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture
- Partner with the ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate a variety of cutting edge ML models at unprecedented scale
- Apply the state-of-the-art ML models and techniques to real-life drug discovery challenges
- Build a world-class ML drug design research environment with scalable software and libraries
- Create novel instrumental drug discovery tools in partnership with domain experts. Take end-to-end ownership from rapid prototyping to production-quality code
- Iterate collaboratively with scientists and domain experts to deeply understand feature requirements and user feedback
- Develop tools and libraries to enable large-scale machine learning experiments across thousands of accelerators
- Maximise model performance, scalability, and robustness for production use within our computational platform
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
Company
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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