ML Platform Engineer

Job summary

syn*** is seeking an ML Platform Engineer to join their team, focusing on building and operating systems for training, serving, and deploying generative models.

Qualifications

• Experience with production systems focusing on reliability and scalability.
• Systems mindset considering bottlenecks and resource usage.
• Hands-on experience with cloud infrastructure and Linux.
• Experience with Kubernetes and distributed workloads.
• Strong judgment on automation and reliability.
• Experience building internal platforms and developer tooling.
• Comfort in ambiguous environments and ownership of technical problems.
• Pragmatic approach to problem-solving.

Responsibilities

• Design and improve platform systems for model training and production serving.
• Build infrastructure and tooling for reliable and scalable ML workloads.
• Develop internal tools and workflows for human and agent operation.
• Work on architecture for model deployment and operation.
• Improve scheduling, monitoring, and debugging of GPU workloads.
• Develop tools and systems to reduce operational overhead.
• Drive improvements in observability, automation, and developer experience.
• Collaborate with researchers and engineers to enhance platform capabilities.
• Contribute to technical direction and architectural tradeoffs.

Skills

Relocation