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Showing 21-30 of 138 jobs

Graduate Software Engineer
Bending Spoons
Active - posted 5 days ago

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US Mobile
Active - posted 5 days ago

Senior Software Engineer
GitHub
Active - posted 5 days ago

Senior Rust Software Engineer (R26346)
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Active - posted 5 days ago

Senior Full Stack Software Developer
Magna
Active - posted 5 days ago

Backend Engineer
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Active - posted 5 days ago

Software Engineer, Realtime Engine Technology - Reality Labs
Meta
Active - posted 5 days ago

Research Engineer
Chainlink Labs
Active - posted 5 days ago

Core Engineer
BULK Labs
Active - posted 5 days ago

Quantitative Engineer
BULK Labs
Active - posted 5 days ago

Senior ML Ops Engineer, London
Isomorphic Labs
Active - posted 4 days ago
Job Description
About the Role
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.
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 and collaborative culture.
The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.
About Isomorphic Labs
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.
Y**our 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.
Key Responsibilities
- 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)
Requirements
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)
Creating an extraordinary company
We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, 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). 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.