Senior Machine Learning Engineer, London
This is an extraordinary opportunity to join a new Alphabet company that will reimagine drug discovery through a computational- and AI-first approach.
We are assembling a world-class, multi-disciplinary team who want to drive forward groundbreaking innovations. As one of the first members of this pioneering organisation, you will play a meaningful role in building this team, embodying an inspiring, collaborative and entrepreneurial culture.
This early-stage venture is 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’ and advancing a new type of biotech that will deliver transformative social impact for the benefit of millions of people.
Your Impact
This is a brand new role created out of significant growth across our neighbouring Drug Design Medicinal Research (DDMR) function and ML Research team that will offer you the chance to shape the future of Drug Design as we know it. This role will see you working across multiple teams and functions whilst also offering you significant scope to impact both our platforms and products. Leveraging your technical expertise, you will improve, re-shape and redesign Isomorphic Labs’ ML product suite whilst helping to bridge the gap between our Engineering and Research functions.
You’ll be joining an entrepreneurial, diverse and rapidly growing team of Machine Learning specialists, all passionate about having a tangible real-world impact. Partnering closely with our Software Engineering Leads, Platform team, Research and Product, you’ll be given the opportunity to push technical boundaries and work as part of a ground-breaking function that underpins Isomorphic Labs’ vision for revolutionising Drug Design.
What you will do
- Contribute to the technical strategy for the organization
- Set and uphold high standards and best engineering practices across codebases
- Contribute to all of the Isomorphic Labs product and platform offerings, leveraging your engineering experience to accelerate drug design processes
- Ensure the models meet a high engineering standard with respect to architecture, scalability, maintainability and other operational characteristics
- Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
- Provide technical leadership to the organisation and co-own core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)
Skills and qualifications Essential
- Strong foundations in software engineering
- Proven track record of delivering projects with high engineering quality and velocity
- Strong experience with platform engineering
- Experience with a variety of infrastructure frameworks ideally gained in a best in class research environment
- Experience partnering with research and product teams
- Experience building secure/scalable platforms/products on cloud
Nice to have
- Pharma and/or biotech industry experience, ideally with a focus on drug discovery
- Experience with the full ML development lifecycle
- Familiarity with ML accelerator hardware
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
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.
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.
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What We Do
Isomorphic Labs is a new Alphabet company and commercial venture which aims to reimagine the entire drug discovery process from first principles with an AI-first approach, and, ultimately, to model and understand some of the fundamental mechanisms of life. Using computational advances, we’re working at the cutting edge in the new era of ‘digital biology’. By significantly increasing the pace of scientific research and efficacy of new medicines, we will be at the forefront of breakthroughs that will benefit millions of people.