Machine Learning Engineer

Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.

Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.

Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.

Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.

Exposure to working directly with AI/ML technologies.

Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases.

A high level of ownership and can drive features from concept to production with minimal supervision.

Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions.