ClickHouse

ClickHouse

Senior Software Engineer - Integrations - AI/ML

Canada (Remote) · Senior

Sponsorship not specifiedDetected 77 days ago
PythonSQLVector DatabasesAPI DevelopmentKafkaMachine LearningPandasNumPySparkAirflowdbtData ScienceData VisualizationLLMsRAGAgentic AIMLOps5G/LTECommunicationMetabase

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

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About the role

  • As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem.
  • This role sits at the intersection of high-performance database engineering and developer experience.
  • You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

Responsibilities

  • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
  • Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
  • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
  • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
  • Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)

Requirements

  • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
  • Solid experience with concurrent Python: threading, multiprocessing, and async patterns

Nice to have

  • Outstanding written and verbal communication
  • comfortable collaborating across engineering functions and with open-source communities
  • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
  • Familiarity with ClickHouse or similar high-performance OLAP platforms
  • Familiarity with the JVM ecosystem
  • Experience deploying AI/ML models in production, including inference APIs and vector databases
  • Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus

Skills

  • About ClickHouse
  • Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.
  • The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round.
  • Our work directly shapes how companies process massive datasets:

Compensation

  • For roles based in the United States, t he typical starting salary range for this position is listed above.

Benefits

  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
  • A $500 Home office setup if you're a remote employee.

Company info

  • Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments.
  • These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
  • We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist.
  • As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
  • Are you interested in finding out more about our culture?
  • Learn more about our values here.

Equal opportunity

  • Equal Opportunity & Privacy
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This listing is sourced directly from ClickHouse's careers page and normalized into a canonical job model.