Machine Learning Engineer (AI/ML)

About this role

Build and operate AI and machine learning products for ClickHouse Cloud, spanning inference services, APIs, integrations, and user-facing features. Own ML pipelines end to end, including data, training, evaluation, and production monitoring.

About the company

ClickHouse is a high-performance columnar database built for real-time analytics on large volumes of data.

The team

AI/ML Engineering team

Stack

What you'll do

• Build AI-powered features across backend services and frontend interfaces
• Design scalable APIs connecting ClickHouse with AI/ML inference systems
• Develop and maintain integrations with AI/ML frameworks, tools, and standards
• Deploy models with monitoring, versioning, observability, and evaluation
• Own ML pipelines covering data, training, and evaluation; fine-tune or train models when needed
• Participate in the daytime on-call rotation

What we're looking for

• 5+ years of software engineering experience in production environments
• Experience working directly with AI/ML technologies
• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Applied ML experience with Python, Jupyter, PyTorch, and common ML libraries
• Hands-on experience with compute clusters such as Ray or Slurm
• Can drive features from concept to production with minimal supervision
• Strong collaboration and communication skills

Nice to have

• Familiarity with AWS, Azure, or GCP AI/ML deployment services
• Understanding of database systems and data-processing pipelines; ClickHouse experience is a plus
• Experience with embedding-based retrieval, ranking, or recommender systems
• Knowledge of representation learning

Benefits

• Company stock options
• Flexible time off in the US
• Employer contributions toward healthcare
• $500 remote home-office setup allowance
• Company-wide offsites