ML Ops Engineer, 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. 

You will join our Core Engineering group, where you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation.

You'll be working as part of a small and highly efficient team working on all parts of ML Model Lifecycle  - from infrastructure, to software engineering, to user experience.

We will encourage you to dream up and build the ML platform you wished was already available. Your tools will have access to a large fleet of compute. Your work will be used by some of the best chemistry/biology/ML minds in the world. You'll be free to pursue the team goals in the best way you see fit. We're interested in you telling us how to build things better.

We believe Isomorphic is best of both worlds: a dynamic startup where things happen fast with the additional benefits that come from Alphabet backing and a long-term vision.

What you will do

  • Build ecosystem and tools to enable cutting-edge ML research and serve large-scale ML models at the forefront of science
  • Build and operate processes and tools for effective operational management of research and production software
  • Design, implement and manage cloud infrastructure for all stages of ML model lifecycle, from research, through training, to production inference 
  • Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
  • Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Skills and qualifications 

Essential:

  • Hands-on experience managing and deploying workloads on Kubernetes
  • Experience building and prototyping secure/scalable platforms/products on cloud
  • Strong experience in DevOps best practices
  • Strong foundations in software engineering
  • Proficiency in any of the following: Python, Golang, Rust, JavaScript

Ideally you’ll also have:

  • Experience, and active participation at any stage of the ML Model Lifecycle, for instance:
    • Developing training/inference platforms
    • Managing large fleets of compute for ML purposes
    • Or other relevant experience related to ML model lifecycle
  • Practical experience with modern Machine Learning Ops lifecycle, tools, and frameworks

Nice to have:

  • Experience supporting machine learning research activities
  • Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX
  • Experience with Google Cloud Platform (GCP)


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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We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are working to build teams that reflect and represent the populations we are striving to serve. As part of this effort we would like to better understand our candidate audience, so that we can continue to improve.

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