Remote AI/ML Engineer—Equity & Flexible Time Off

ClickHouse; Detroit (MI); Remote; USD 150,000 - 238,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare contributions

Stock options

Generous time off

Home office stipend ($500)

Global gatherings

Job summary

ClickHouse is seeking experienced software engineers to join the AI/ML Engineering team. You will design and implement AI-powered features across the full stack, build scalable APIs, and integrate with the broader AI/ML ecosystem.

You’ll own the ML pipeline end-to-end, including data, training, evaluation, and model deployment, while participating in daytime on-call rotations. Applicants should have 5+ years of production experience, AI/ML exposure, and strong Python (Jupyter, PyTorch) skills,

Qualifications

• 5+ years of software engineering in production environments.
• Exposure to AI/ML technologies.
• Experience deploying AI/ML models in production, including vector DBs and inference APIs.
• High ownership with ability to drive features end-to-end.
• Strong communication across diverse stakeholders.
• Applied ML with Python (Jupyter, PyTorch), compute clusters (Ray, Slurm), and solid experimentation practices.

Responsibilities

• Design and implement AI-powered features across the full stack.
• Build robust APIs linking database capabilities with AI/ML services.
• Integrate with the broader AI/ML ecosystem and tooling standards.
• Deploy models in production with proper monitoring and observability.
• Participate in daytime on-call rotations.
• Own the ML pipeline end-to-end (data, training, evaluation).

Skills

5+ years experience

AI/ML experience

ML model deployment

Python (PyTorch)

Compute clusters (Ray/Slurm)

Ownership of features

Strong communication

Tools

Vector databases

Jupyter

PyTorch

Inference APIs

Cloud platforms (AWS/GCP/Azure)

Job description

ClickHouse is seeking experienced software engineers to join the AI/ML Engineering team. You will design and implement AI-powered features across the full stack, build scalable APIs, and integrate with the broader AI/ML ecosystem.

You’ll own the ML pipeline end-to-end, including data, training, evaluation, and model deployment, while participating in daytime on-call rotations. Applicants should have 5+ years of production experience, AI/ML exposure, and strong Python (Jupyter, PyTorch) skills,