What You Will Do
- 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 to ensure high‑throughput performance and feature parity across the model serving stack.
- Contribute to core technical decisions on tooling and architectural design.
- Deliver high‑quality, well‑tested, user‑focused features.
Essential Skills and Qualifications
- Hands‑on experience deploying and scaling inference frameworks (e.g., KServe, Seldon) within Kubernetes, with 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 deep knowledge of high‑throughput architectures.
- Understanding of modern infrastructure and DevOps practices (Infrastructure as Code, CI/CD pipelines, and comprehensive observability).
Nice to Have
- Experience with Google Cloud Platform (GCP).
- Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
- Familiarity with GPU‑aware infrastructure and specialized inference servers (e.g., Triton, TF Serving).
Hybrid Working
We 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 discuss accommodations during the initial screening.
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 let us know.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
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