ML Platform Engineer: Scalable AI Infra & Tools

synthesia; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Synthesia is seeking an Engineer to join the ML Platform team. This is a hands-on role that emphasizes building reliable and scalable systems for training and serving generative models.

The ideal candidate should possess strong experience with cloud infrastructure, Linux, and tools like Kubernetes. You will collaborate closely with various teams and contribute to the evolution of the ML platform as it scales.

Qualifications

• Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
• Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
• Experience with Kubernetes and operating distributed workloads in production.

Responsibilities

• Design and improve the platform systems that support model training and production serving.
• Build infrastructure that makes ML workloads reliable, scalable, and cost-efficient.
• Collaborate closely with researchers and product engineers to understand pain points.

Skills

Reliability engineering

Scalability

Cloud infrastructure

Linux

Kubernetes

Python

Tools

Terraform

Datadog

GitHub Actions

Job description

Synthesia is seeking an Engineer to join the ML Platform team. This is a hands-on role that emphasizes building reliable and scalable systems for training and serving generative models.

The ideal candidate should possess strong experience with cloud infrastructure, Linux, and tools like Kubernetes. You will collaborate closely with various teams and contribute to the evolution of the ML platform as it scales.