ML Ops Engineer, Isomorphic Labs
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
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
- Hands-on experience managing and deploying workloads on Kubernetes
- Experience building and prototyping secure/scalable platforms/products on cloud
- Strong experience in DevOps best practices
- Strong foundations in software engineering
- Proficiency in any of the following: Python, Golang, Rust, JavaScript
Desirable
- Experience, and active participation at any stage of the ML Model Lifecycle, for instance:
- Developing training/inference platforms
- Managing large fleets of compute for ML purposes
- Or other relevant experience related to ML model lifecycle
- Practical experience with modern Machine Learning Ops lifecycle, tools, and frameworks
- Experience supporting machine learning research activities
- Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX
- Experience with Google Cloud Platform (GCP)
What the job involves
- This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it
- You will join our ML Platform group, where you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation
- You'll be working as part of a small and highly efficient team working on all parts of ML Model Lifecycle - from infrastructure, to software engineering, to user experience
- We will encourage you to dream up and build the ML platform you wished was already available. Your tools will have access to a large fleet of compute. Your work will be used by some of the best chemistry/biology/ML minds in the world
- You'll be free to pursue the team goals in the best way you see fit. We're interested in you telling us how to build things better
- Build ecosystem and tools to enable cutting-edge ML research and serve large-scale ML models at the forefront of science
- Build and operate processes and tools for effective operational management of research and production software
- Design, implement and manage cloud infrastructure for all stages of ML model lifecycle, from research, through training, to production inference
- 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
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Insights
30% female employees
Company
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