ML Platform Engineer
Summary generated from the verified employer listing
Synthesia is hiring a remote ML Platform Engineer in Europe to design and improve systems that support model training, evaluation, and production serving. The role focuses on building reliable, scalable, and cost‑efficient infrastructure and tooling for ML workloads, including GPU and cloud environments. Responsibilities include developing internal tools, improving observability, automation, and developer experience, and collaborating with researchers and product engineers to translate pain points into platform capabilities. The position requires strong experience with production systems, Kubernetes, cloud infrastructure, Linux, and coding in Python, along with a systems mindset and ownership of open‑ended technical problems.
Key details
- Remote position based in Europe
- Focus on reliability, scalability, and cost‑efficiency of ML infrastructure
- Requires experience with Kubernetes, cloud, Linux, and Python
- Emphasis on building internal tooling and automation
- Collaborates closely with researchers and product engineers