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About the Role

We are building the largest foundation models in biotech and applying them immediately to cure disease. You will play a pivotal role in ensuring the reliability and scalability of the foundations that make this possible. As an Engineer, you will get involved with the efforts to harden our systems, ensuring our groundbreaking AI is built on an unshakeable base, working closely with the research team and the Applied ML teams to ensure the infrastructure is stable, reliable and can operate with more data and larger models as we grow.

Responsibilities

Develop and operate our inference platform, serving fleets of cutting-edge machine learning models to scientific applications.
Optimize our existing inference services, solving 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.
Deliver high-quality and well-tested user-focused features.

Requirements

Hands-on experience deploying and scaling inference frameworks (e.g., KServe, Seldon) within Kubernetes, including a strong understanding of cloud-native ML lifecycle management.
Strong programming skills and a "reliability-first" approach to software development.
Experience developing, operating, and debugging large-scale distributed systems, with a strong grasp of high-throughput architectures.
Understanding of modern infrastructure and DevOps practices (Infrastructure as Code, CI/CD pipelines, and comprehensive observability).

Skills

Google Cloud Platform (GCP)
Workload scheduling
ML efficiency research
Hardware benchmarking
GPU-aware infrastructure
Specialized inference servers (e.g. Triton, TF Serving)

Location

Hybrid

Work Type

Hybrid

Experience Level

Engineer

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.