ML Ops engineer, London or Lausanne
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 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, 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 ML Platform 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 believe Isomorphic is best of both worlds: a dynamic startup where things happen fast with a secure Alphabet backing and a long-term vision.
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.
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
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 inclusive company
We believe 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, learning is shared and every employee feels like they truly belong. 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 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). 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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Top Skills
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.
