Senior AI/ML Engineer — Real-Time Analytics, Remote & Equity

ClickHouse; Dallas (TX); Remote; USD 150,000 - 238,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare - Employer contributions

Equity in the company

Time off - Flexible time off

Home office setup stipend

Global gatherings

Job summary

ClickHouse, recognized on the Forbes Cloud 100 list, is seeking an experienced software engineer to join the AI/ML Engineering team. You will design and implement AI-powered features across the stack, build robust APIs, and integrate models into production systems with monitoring and observability.

You will own the ML pipeline end to end, work with inference APIs and vector databases, and participate in daytime oncall rotations.

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Skills

Python

Jupyter

PyTorch

AI/ML technologies

Inference APIs

Vector databases

Compute clusters

Tools

Ray

Slurm

Job description

ClickHouse, recognized on the Forbes Cloud 100 list, is seeking an experienced software engineer to join the AI/ML Engineering team. You will design and implement AI-powered features across the stack, build robust APIs, and integrate models into production systems with monitoring and observability.

You will own the ML pipeline end to end, work with inference APIs and vector databases, and participate in daytime oncall rotations.