Description
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is transforming how companies use data.
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships.
Responsibilities
- Feature Development: Design and implement AI-powered features across the full stack.
- API Architecture: Create robust, scalable APIs connecting ClickHouse's database capabilities with modern AI/ML inference systems.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation.
- ML Engineering: Own the ML pipeline end to end and fine-tune or train custom models.
Requirements
- 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.
- A high level of ownership and ability to drive features from concept to production.
- Ability to thrive in collaborative environments and communicate technical concepts effectively.
- Applied ML experience in Python, hands-on with compute clusters, and designs trustworthy experiments.
Nice to Have
- Familiarity with cloud technologies such as AWS, Azure, or GCP.
- Understanding of database systems and data processing pipelines.
- Experience with embedding-based systems.
Perks
- Flexible work environment.
- Healthcare.
- Equity in the company.
- Time off.
- A USD$500 Home office setup.
- Global Gatherings.