Engineer, Applied Machine Learning

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
Machine Learning
Mid-Level Software Engineer
Hybrid
5+ years of experience

Description For Engineer, Applied Machine Learning

Isomorphic Labs, an Alphabet company, is revolutionizing drug discovery through AI and computational approaches. We're seeking an Engineer in Applied Machine Learning to join our London team. In this role, you'll work on a groundbreaking ML-based software platform aimed at transforming the biopharmaceutical industry. You'll collaborate with top engineers, scientists, and ML researchers to build critical systems that drive this transformation.

Key responsibilities include designing and developing cutting-edge ML models at scale, applying state-of-the-art techniques to real-world drug discovery challenges, and building a world-class ML drug design research environment. You'll create novel drug discovery tools, work closely with domain experts, and develop libraries for large-scale ML experiments.

The ideal candidate has deep experience in large-scale ML model development, proficiency in frameworks like JAX, PyTorch, or TensorFlow, and a strong background in software engineering. You should be comfortable with the full ML research and development lifecycle and have experience working with research and product teams.

We offer a collaborative, entrepreneurial culture and the opportunity to make a significant impact in the field of digital biology. Our hybrid working model requires 3 days in the office per week, allowing for knowledge sharing and relationship building while maintaining flexibility.

Join us in our mission to accelerate drug discovery, increase efficacy, and lower costs, potentially benefiting millions of people worldwide. If you're passionate about applying ML to solve complex biological problems and want to be at the forefront of scientific innovation, this role at Isomorphic Labs could be your next career-defining opportunity.

Last updated 6 months ago

Responsibilities For Engineer, Applied Machine Learning

  • Partner with ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate cutting edge ML models at unprecedented scale
  • Apply 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
  • Iterate collaboratively with scientists and domain experts to understand feature requirements and user feedback
  • Develop tools and libraries to enable large-scale machine learning experiments across thousands of accelerators
  • Maximize model performance, scalability, and robustness for production use within the computational platform

Requirements For Engineer, Applied Machine Learning

Python
  • 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
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

Benefits For Engineer, Applied Machine Learning

  • Opportunity to work on a greenfield ML-based software platform
  • Collaborative and entrepreneurial culture
  • Hybrid working model (3 days in office per week)

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