Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Go @ 4
TypeScript @ 4
Python @ 4
GCP @ 3
Machine Learning @ 4
AWS @ 3
Azure @ 3
API @ 4
Observability @ 4
AI @ 4
ClickHouse @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is a fast-growing private cloud company with more than 3,000 customers. The company leads the market in real-time analytics, data warehousing, observability, and AI workloads, and recently closed a $400M Series D financing round.
About the team
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships and shared components that enable other ClickHouse teams to ship AI functionality.
Responsibilities
- Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces within ClickHouse Cloud.
- 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 so ClickHouse works with popular frameworks and tools.
- Integrate models into production systems with monitoring, versioning, observability, and evaluation.
- Participate in daytime oncall rotation with the team.
- Design and implement developer tools, SDKs, and documentation to enable users to leverage ClickHouse AI/ML capabilities.
Requirements
- 5+ years of software engineering experience in production environments.
- Exposure to working directly with AI/ML technologies.
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture.
- Backend development experience in one of Python, Go, or TypeScript (focus on API design and service architecture).
- High level of ownership and ability to drive features from concept to production with minimal supervision.
- Ability to thrive in collaborative environments and communicate technical concepts to diverse stakeholders.
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including inference APIs and vector databases.
- Familiarity with cloud providers (AWS, Azure, GCP), especially services related to AI/ML deployment.
- Understanding of database systems and data processing pipelines; ClickHouse experience is a significant plus.
Compensation
- Typical starting salary for this role in the US: $141,000 - $195,000 USD.
- Typical starting salary for this role in US Premium Markets (e.g., San Francisco Bay Area, New York City Metro): $158,000 - $232,000 USD.
These ranges reflect the company's good-faith estimate of minimum and maximum pay at the time of posting; actual compensation may vary based on factors such as education, experience, location, and performance.
Perks
- Flexible work environment; ClickHouse is globally distributed and remote-friendly.
- Employer contributions towards healthcare.
- Stock options for new team members.
- Flexible time off in the US and generous entitlement in other countries.
- $500 home office setup for remote employees.
- Global company gatherings and offsites.
Other
- #LI-remote
- Contact for pay transparency: [email protected]
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. See the company's applicant privacy notice for more details.