clickhouse - Machine Learning Engineer

• Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. • 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 frameworks and tools. • 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. • ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. • 5+ years of software engineering experience in production environments • 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 • Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders • 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