Isomorphic Labs - Senior Software Engineer, ML Ops
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Requirements
• Essential: • 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. • 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. • Culture and values • 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. • ThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. • Thoughtful • BraveBrave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. • Brave • DeterminedDetermined 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. • Determined • TogetherTogether 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. • Together • 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 • 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. • would require you to be able to come into the office 3 days a week • Please note that when you submit an application, your data will be processed in line with our privacy policy. • >> Click to view other open roles at Isomorphic Labs
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.
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