About the job
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. 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.
Responsibilities
Develop and operate our inference platform, serving fleets of cutting-edge machine learning models to scientific applications.
Design strategy and build roadmaps for maturing the platform.
Architect and optimize our next-generation inference services. You will solve core scaling limits, ensuring high-throughput performance and feature parity across our model serving stack.
Contribute to core technical decisions on tooling and architectural design while partnering with science, product, and operations teams to align infrastructure with biotech R&D cycles.
Deliver high-quality and well-tested user-focused features.
Qualifications
Minimum
Proven experience in architecting and managing large-scale AI/ML workloads in a production environment.
Expertise in cloud compute design, specifically within Google Cloud Platform (GCP).
Orchestration: Significant experience deploying and managing complex workloads within Kubernetes (GKE).
Professional familiarity with NVIDIA GPU generations and the intricacies of high-performance compute.
Strong programming skills and a 'reliability-first' approach to software development.
Preferred
A career history that spans both ML Software Engineering and Infrastructure SRE roles.
Experience leading multi-disciplinary projects and navigating complex stakeholder requirements in a fast-paced environment.
Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
Experience with Google TPU generations and specialized ML-driven R&D cycles.