Machine Learning Engineer - Hybrid Working

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Machine Learning Performance Engineer, London London
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
A future enabled and enriched by the incredible power of machine learning. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.
The world we want tomorrow is the one were building today. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AIs powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the worlds most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
Every day, and with each new breakthrough, were getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Machine Learning Performance Engineer, London
This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.
Working in a highly creative, iterative environment, you will join the model performance and scaling team, where you will partner with scientists and engineers to scale foundational models that will transform the biopharmaceutical world as we know it.
You will draw upon your existing engineering experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered model and systems performance optimizations, as well as machine learning, computational biology and chemistry problems.
Develop custom GPU kernels maximising utilisation and application performance.
Help design, implement, and optimize distributed training and inference strategies.
Diagnose and debug performance bottlenecks to optimize latency and throughput, impacting real world drug design programs.
Design low-precision algorithms balancing high performance with minimal accuracy loss.
Significant industry experience and strong working knowledge of HPC and ML systems.
Good understanding of GPU and other AI accelerator architectures.
Strong knowledge of data structures and algorithms.
Experience with deep learning ML frameworks (preferably JAX).
Experience with distributed training and data/model sharding strategies.
Experience with optimising ML accuracy using low-precision formats.
Experience building, deploying and maintaining production systems on GCP.
These values help to guide our work and will continue to strengthen it.
Together at Iso is about connection, collaboration across fields and catalytic relationships. Its knowing that transformation is a group project, and remembering that what were doing will have a real impact on real people everywhere.

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team youre in). If you have additional needs that would prevent you from following this hybrid approach, wed be happy to talk through these if youre selected for an initial screening call.
Please note that when you submit an application, your data will be processed in line with our privacy policy .
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Location:
London
Job Type:
FullTime

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