Staff Software Engineer, AI/ML
Maven ClinicSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Database, AI/MLIndustries
Requirements
- 5+ years of full-stack development experience with at least 2 years working directly with AI/ML technologies in production environments
- Strong frontend skills with TypeScript/JavaScript and React, with experience building data-oriented interfaces and visualizations
- Backend development experience in Go, Python, or TypeScript, with a focus on API design and service architecture
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- 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 containerization and orchestration technologies like Docker and Kubernetes
- High level of ownership and ability to drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and effectively communicate technical concepts to diverse stakeholders
Responsibilities
- Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse works seamlessly with popular frameworks and tools
- Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform
- Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external AI services
- Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds
- Work closely with the AI/ML team to integrate models into production systems with proper monitoring, versioning, and observability
- Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities
Skills
Full Stack
AI/ML
JavaScript
React
Node.js
Python
SQL
API Development
UI/UX
Inference API
AWS
GCP
Azure
Monitoring
SDKs
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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