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Isomorphic Labs

AI-powered drug discovery and development

Staff Software Engineer - Inference Platform

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Proven experience architecting and managing large-scale artificial intelligence and machine learning workloads in a production environment.
  • Significant experience deploying and managing complex workloads within Kubernetes.
  • Expertise in cloud compute design, specifically Google Cloud Platform.
  • Professional familiarity with NVIDIA GPU generations and high-performance computing.
  • Strong programming skills and a reliability-first approach to software development.

Responsibilities

  • Develop and operate the inference platform, serving fleets of machine learning models to scientific applications.
  • Design strategy and build roadmaps for maturing the platform.
  • Architect and optimize next-generation inference services, solve core scaling limits, and ensure high-throughput performance and feature parity across the model-serving stack.
  • Contribute to core technical decisions on tooling and architectural design while partnering with science, product, and operations teams to align infrastructure with biotech research and development cycles.
  • Deliver high-quality, well-tested user-focused features.

Desired Qualifications

  • A career history spanning both machine learning software engineering and infrastructure site reliability engineering roles.
  • Experience leading multidisciplinary projects and navigating complex stakeholder requirements in a fast-paced environment.
  • Familiarity with workload scheduling, machine learning efficiency research, and hardware benchmarking.
  • Experience with Google Tensor Processing Unit generations and specialized machine-learning-driven research and development cycles.

About the Company

Isomorphic Labs

AI-powered drug discovery and development

Isomorphic Labs uses artificial intelligence to speed up drug discovery and development. It applies machine learning and computational methods—building predictive and generative models—to accelerate how drugs are designed and how medical research is conducted. The company differentiates itself by combining the AI breakthroughs from Google DeepMind with Alphabet backing, enabling fast experimentation and scaling across biology while maintaining startup-style agility. Its goal is to bring safer, more effective therapies to market more quickly by advancing AI-driven medicine using deep learning, reinforcement learning, and other advanced techniques.

Company size
201-500
Company stage
Series C
Total funding
$7.7B
Headquarters
London, United Kingdom
Founded
2021

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