Software Engineer (ML Infrastructure)

Isomorphic Labs; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

Isomorphic Labs is seeking several software engineers to advance the ML infrastructure that powers scalable research and deployment of models. You will collaborate with engineering and research teams to evolve the platform for training and inference across large compute pools.

Ideal candidates bring strong Python skills, hands-on Kubernetes experience, and a track record in ML inference or research infrastructure, with comfort in multi-cloud environments and cloud platforms such as GCP.

Qualifications

• Strong Python programming experience.
• Hands-on Kubernetes experience.
• Experience with Google Cloud Platform (GCP).
• Experience with multi-cloud environments.
• Background in ML inference or training infrastructure.
• Proven ability to design and evolve large-scale systems.

Responsibilities

• Evolve the ML infrastructure platform to accelerate research at scale.
• Explore options to deploy agents to increase robustness of the platform.
• Develop the platform for distributed, performance-critical training and inference workloads.
• Partner with engineering, research and product teams to identify and deliver impact.
• Demonstrated ability to work independently in cross-functional teams.
• Build and evolve infrastructure or platforms at significant scale.
• Provide platforms to internal customers.
• Leverage Google Cloud Platform and multi-cloud environments.

Skills

Python

Kubernetes

GCP

Multi-cloud

ML inference infra

Distributed systems

Job description

This is an exciting opportunity for a small number of innovative and versatile software engineers to work in a fast-paced and research-centric environment. You will collaborate extensively with internal engineering and research teams to evolve the foundational infrastructure that makes it easy to train and deploy novel machine learning models over vast (and growing) pools of compute and data. For this role we are looking for individuals with experience of designing and evolving complex systems at significant scale. Domain knowledge of ML inference, training or research infrastructure will be a strong advantage, though we encourage applications from candidates with a record of exceptional impact in any field.What you will do

• Evolve the ML infrastructure platform to accelerate both human and agent-driven research at scale
• Explore options to deploy agents to increase the robustness and reliability of the platform
• Develop the platform to enable the next generation of distributed, performance-critical training and inference workloads
• Partner closely with engineering, research and product teams to identify and deliver impact
  Demonstrated ability to independently identify opportunities, deliver solutions and work effectively in cross-functional teams
• Experience building and evolving infrastructure or platforms at significant scale
• Strong Python programming (though familiarity with any particular library is not required), Domain knowledge of ML inference, training or research infrastructure
• Strong hands-on experience building for Kubernetes
• Experience providing platforms to internal customers
• Experience with Google Cloud Platform (GCP)
• Experience with multi-cloud environments
• 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.
• 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.