Machine Learning Research Engineer
AI-first drug design and development company building a unified drug-design engine to advance new medicines.
Funding history
Investors
About Isomorphic Labs
Isomorphic Labs uses predictive and generative AI models, computational biology, and drug-design expertise to develop therapeutics across partnered and internal programs.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will translate research concepts into robust AI models, codebases, data pipelines, and training infrastructure. You will design and run experiments, evaluate and tune models, optimise training and inference, advise on production integration, develop supporting tools, collaborate through code reviews, and independently solve engineering challenges for research goals.
Requirements
- Advanced degree in a quantitative field or equivalent practical experience
- Deep understanding of machine learning principles and techniques
- Proficiency with JAX or PyTorch
- Experience with transformers, GNNs, or diffusion models
- Experience taking ML models from conception to production
- Strong software development, algorithms, and data structures skills
- Strong written and verbal communication skills
Responsibilities
- Develop and optimise AI models, codebases, data pipelines, and training infrastructure
- Design and run experiments to evaluate model performance and robustness
- Collect and prepare data for model evaluation and tuning
- Optimise training and inference for diffusion models, transformers, and GNNs
- Integrate AI models into production systems and monitor their behaviour
- Develop specialised tools, frameworks, and infrastructure
- Collaborate with scientists and engineers through knowledge sharing and code reviews
- Execute independent engineering projects toward research goals