Principal ML Platform Engineer

About the role

We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. The team builds and operates the systems that enable researchers and product teams to train, serve, and deploy generative models reliably and efficiently.

Key responsibilities

• Design and improve platform systems that support model training, evaluation, and production serving.
• Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost‑efficient.
• Develop internal tools and workflows that can be operated by both humans and autonomous agents.
• Improve scheduling, monitoring, and debugging of GPU‑based workloads on cloud infrastructure.
• Drive improvements across observability, automation, reliability, and developer experience.
• Collaborate closely with researchers and product engineers to turn pain points into robust platform capabilities.

Required profile

• Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
• A systems mindset, naturally thinking about bottlenecks, failure modes, interfaces, resource usage, and long‑term operability.
• Hands‑on experience with cloud infrastructure, Linux, and infrastructure automation.
• Experience operating distributed workloads in production, especially with Kubernetes and GPU‑based systems.
• Pragmatic approach to solving the right problem without over‑engineering.

Required skills

• Python
• Kubernetes
• Linux
• Cloud infrastructure
• Terraform
• Datadog
• GitHub Actions
• GPU‑based systems
• Observability and debugging in distributed systems