Software Engineer, Applied ML
London
Isomorphic Labs
We’re a digital biology company here to redefine drug discovery with the power of artificial intelligence. We're glad you're here, let's get to workSoftware Engineer, Applied ML, London
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
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.
- Apply the state-of-the-art ML models and techniques to real-life drug discovery challenges.
- Build a world-class ML drug design research environment with scalable software and libraries.
- 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.
- 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.
Skills and qualifications
Essential:
- Deep experience with developing large-scale machine learning models.
- Significant experience with solving real-life challenges with ML models and techniques.
- 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.
- Extensive programming experience using any mainstream programming languages, including strong Python experience.
- 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
What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:
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.
In this 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 inclusive company
We realise that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, 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 be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and for full time positions we would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). For part time positions this may vary. As an equal opportunities employer we are committed to building an equal and inclusive team. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Biology Chemistry Computer Science Drug discovery Engineering JAX Machine Learning ML models Pharma Privacy Prototyping Python PyTorch Research TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Data Analytics Engineer jobs
- Open Manager, Data Engineering jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Data Analyst II jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open LLMs-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Docker-related jobs