Software Engineer (ML Research Engineering)

We are looking for engineers with different levels of experience - Mid through to Senior, Principal, Staff or equivalent levels., * Strong experience with developing large-scale machine learning models.

• Extensive programming experience using any mainstream programming languages, including strong Python experience.
• 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.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.
• Either a Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.
• Experience developing user facing production code.

Culture and values

We are here to advance human health, by re-imagining drug discovery with the power and pace of artificial intelligence. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured by better and faster drug discovery. Our values exist in service of that future. We think they'll help us bring it closer, too. 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 we're building today. It starts with the culture at this company. It starts with you. Your impact This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution. What you will do * Partner with the ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate a variety of cutting edge ML models at unprecedented scale. * Build a world-class ML drug design research environment with scalable software and libraries. * Develop tools and libraries to enable large-scale machine learning experiments across thousands of accelerators. * Maximise model performance, scalability, and robustness for production use within our computational platform. * Create novel instrumental drug discovery tools in partnership with domain experts. Take end-to-end ownership from rapid prototyping to production-quality code. * Iterate collaboratively with scientists and domain experts to deeply understand feature requirements and user feedback., We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. ThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. BraveBrave at Iso is about fearlessness, but it's also about initiative and integrity. The scale of the challenge demands nothing less. DeterminedDetermined at Iso is the way we pursue our goal. It's a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won't wait, so neither should we. TogetherTogether at Iso is about connection, collaboration across fields and catalytic relationships. It's knowing that transformation is a group project, and remembering that what we're doing will have a real impact on real people everywhere.