Machine Learning Engineering Lead, London

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

As an Engineering Lead, you will build, grow and lead a talented team of platform engineers and software engineers.

Working closely with the ML Research team, you and your team will develop an infrastructure platform for deploying and scaling cutting edge machine learning models and algorithms. You’ll be developing these through all stages from research grade to real world production use in pursuit of groundbreaking bio-pharmaceutical discoveries.

This newly created role will require you to draw on your extensive experience and offers an exciting opportunity to carve out your contribution in this entrepreneurial environment. This will include working with other Software Engineering Leads to develop a new platform that underpins the company technology and business strategy.

What you will do

• Create a platform for the ML Research team to conduct and accelerate ground-breaking research
• 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
• Build a high performing, nimble team of ML software engineers and platform engineers
• Provide technical leadership to the organisation and own core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills and qualifications

• Strong foundations in software engineering with previous experience operating as a senior individual contributor with software architecture skills
• Strong experience with platform engineering
• Experience with a variety of infrastructure frameworks
• Experience with the full ML development lifecycle
• Experience working with and leading cross functional teams
• Experience partnering with research and product teams
• Experience building secure/scalable platforms/products on cloud
• Experience building, leading and coaching high performing, diverse engineering teams of ideally 5+ people
• Exposure to modern DevOps and SRE best practices

Nice to have

• Pharma and/or biotech industry experience, ideally with a focus on drug discovery
• 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.

#J-18808-Ljbffr