Machine Learning Engineer

Job summary

Responsibilities

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments.

• Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud…
• API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
• Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular…
• Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
• Oncall: Participate in the daytime oncall rotation along with the rest of the team.

Tech stack

• Python
• PyTorch
• Ray
• AWS
• Azure
• GCP