Senior Remote ML Engineer for Production AI & Data Systems

ClickHouse; Phoenix (AZ); Remote; USD 150,000 - 238,000; Full time

Benefits offered by this job

Flexible work

Healthcare

Equity

Flexible time off

Home office stipend

Global gatherings

Job summary

ClickHouse is hiring for an AI/ML Engineer to design and deliver AI-powered features across the full stack within the ClickHouse Cloud platform. You will build robust APIs, integrate AI/ML ecosystems, and productionize models with monitoring and versioning.

You’ll own the ML pipeline end-to-end, from data to evaluation, and participate in on-call rotation. Ideal candidates bring 5+ years of software engineering, hands-on Python/ML experience, and the ability to communicate complex concepts

Qualifications

• 5+ years of software engineering in production.
• Experience with AI/ML tech in production.
• Experience deploying AI/ML models in production with inference APIs and vector databases.
• Strong ownership and ability to drive features end-to-end with minimal supervision.
• Ability to communicate technical concepts to diverse stakeholders.
• Applied ML in Python (Jupyter, PyTorch) with compute clusters (Ray, Slurm).

Responsibilities

• Design and implement AI-powered features across full stack.
• Create robust APIs linking DB capabilities with AI services.
• Maintain integrations with AI/ML ecosystem and standards.
• Integrate models into production with monitoring and versioning.
• Participate in daytime on-call rotation.
• Own the ML pipeline end-to-end (data, training, evaluation).

Skills

5+ years exp

AI/ML tech

ML in production

Python (PyTorch)

Team collaboration

Experiment design

Tools

Inference APIs

Vector databases

Ray

Slurm

ClickHouse

Job description

ClickHouse is hiring for an AI/ML Engineer to design and deliver AI-powered features across the full stack within the ClickHouse Cloud platform. You will build robust APIs, integrate AI/ML ecosystems, and productionize models with monitoring and versioning.

You’ll own the ML pipeline end-to-end, from data to evaluation, and participate in on-call rotation. Ideal candidates bring 5+ years of software engineering, hands-on Python/ML experience, and the ability to communicate complex concepts