> Markdown version of [/jobs/ext/4458708-machine-learning-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/4458708-machine-learning-engineer-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer (AI/ML)

- **Company:** Clickhouse Inc
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $238,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Management of Software Versions, Cloud Platform System, Pytorch, Jupyter, Backend, Agentic-AI, AI Platforms, Scikit Learn, Slurm, Machine Learning Operations, Front End Software Development, Vertica, Api Design, Restful APIs, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e404c09df4a0dec9

## About the Role

* 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

Nice to have

 * Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
 * Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
 * Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them

## Description

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 the AI/ML partnerships that distribute them - together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists., * 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.