ML Engineer, London or Lausanne
Hiring @ ICLR 2025
Isomorphic Labs is hiring talented research engineers onsite at ICLR 2025. Interview with us and get to know your potential colleagues face-to-face!
NOTE: This opening is only relevant if you are planning on attending ICLR 2025 between 23-28 April in Singapore.
If you cannot attend, but would like to be considered for ML Engineering opportunities at Iso, please check out our other job openings.
Once you have applied, our team will review your application and if there is a match we will invite you for a 30-minute initial screening interview, followed by a coding assignment and behavioural interview.
Upon successful outcome, we will invite you to our role assessment stage which will be conducted onsite at ICLR. This stage involves three technical and a hiring manager interview, please ensure you bring your laptop.
We are looking for engineers with all levels of experience.
Why apply?
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.
About Iso
Isomorphic Labs (IsoLabs) was founded in 2021 and is led by Sir Demis Hassabis. Our aim is to usher in a new era of biomedical breakthroughs and find cures for some of humanity’s devastating diseases.
Our foundations are built on the success of Google DeepMind’s AlphaFold, but we didn’t stop there! We are continuing to develop and implement state-of-the-art technologies as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients.
We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
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.
- Solve real-life drug discovery challenges with state-of-the-art ML models and techniques.
- Iterate collaboratively with scientists and domain experts to deeply understand feature requirements and user feedback.
Skills and qualifications
Essential
- 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.
- Interest in chemistry and biology.
Nice to have
- Chemistry and biology knowledge.
- 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 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.
Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined 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.
Together
Together 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.
Creating an extraordinary company
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.
Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. 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 you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re 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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