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ML Research Engineer, London
Summary by AIEngineer.careers
ML Research Engineer, London is a ML Research Engineer role (full-time). with Isomorphic Labs. in GREATER LONDON, GB. Imported listing (source: nortjobs.com). Apply on the employer's site (nortjobs.com).
Imported listing (source: nortjobs.com) · Apply on nortjobs.com
GREATER LONDON · GB
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from nortjobs.com
Isomorphic Labs is seeking ML Research Engineers to advance frontier AI models at the intersection of machine learning and drug design. You will partner with scientists and engineers to build and optimize foundational models that transform biopharmaceutical discovery. The role involves translating research concepts into robust implementations, running experiments, and deploying models to production.
Responsibilities
- Develop and optimize state-of-the-art AI models and maintain robust codebases, data pipelines, and infrastructure.
- Design, implement, and run experiments to evaluate ML model performance and robustness.
- Optimize performance of models such as Diffusion models, Transformers, and GNNs across the AI/ML hardware-software stack.
- Advise on bringing AI/ML models to production and integrating them into product offerings.
- Collaborate with research scientists and engineers, participating in code reviews and knowledge sharing.
- Proactively identify technical challenges and stay updated on latest AI advancements.
Requirements
- 4+ years of industry experience in reputable tech companies or research labs.
- Advanced degree (Master's or PhD) in a quantitative field (Computer Science, AI, Physics, Mathematics, etc.) or equivalent practical experience.
IL
Isomorphic Labs
Greater London · GB · 447+ employees
Isomorphic Labs is an AI-first drug discovery company that develops predictive and generative models to accelerate scientific research and drug design. It was founded as an Alphabet-owned spin-out from DeepMind.
