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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. You will play a key role and work at a grand scale to deliver the foundations that make this happen. By partnering with in-house machine learning experts and biotech researchers you will join a team to efficiently scale and plan the base on which our groundbreaking AI is built.

Responsibilities

Focus on the end-to-end GPU/TPU (accelerator) strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements.
Partner with the Machine Learning Platform team to regularly work in the environment to push and support deployments.
Build, monitor, and manage cluster deployments.
Support the technical strategy around hardware acquisition and deployment decisions.
Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams.
Contribute to efforts for consistently improving the reliability of ML runs.
Operate and handle research, development, and production cloud infrastructure and systems.
Partner and collaborate with a diverse set of teams including science, research, product, business development, and operations.
Contribute to core technical decisions, such as the choice of tooling, infrastructure, and architectural design.

Requirements

Possess real-world experience of large-scale AI/ML workloads.
Have experience working in cloud compute infrastructure design, preferably GCP.
Possess strong programming skills.
Have significant experience working and deploying in Kubernetes.
Familiarity with Nvidia GPU generations.

Skills

Cloud compute infrastructure design
GCP
Programming
Kubernetes
Nvidia GPU generations
ML SWE
Infrastructure SRE
Workload scheduling
Machine learning efficiency research
ML-driven R&D cycles
Hardware benchmarking

Location

Hybrid

Work Type

Hybrid

Experience Level

Senior

About the Company

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
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.

Equal Opportunity

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.