Principal ML Platform Engineer

Job summary

Responsibilities

We’re looking for a Principal Engineer to join the ML Platform team at Synthesia.

• Design and improve the 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 are easy to operate both by humans and by agents.
• Work on the architecture behind how models are deployed, served, and operated across research and product environments.
• Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.

What they're looking for

• someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
• this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex…
• Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
• A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
• Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.

Tech stack

• Kubernetes
• Python
• Terraform