Machine Learning Engineer (AI/ML)

📋 Description

• Design and implement AI-powered features across the full stack
• Create robust, scalable APIs connecting ClickHouse's database capabilities with AI/ML inference
• Implement and maintain integrations with the broader AI/ML ecosystem
• Integrate models into production systems with monitoring, versioning, observability, and evaluation
• Participate in daytime oncall rotation
• Own the ML pipeline end to end (data, training, evaluation), fine-tune or train custom models

🎯 Requirements

• 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 inference APIs
• High level of ownership, drive features from concept to production with minimal supervision
• Effective communication of technical concepts to diverse stakeholders
• Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute

🎁 Benefits

• Flexible work environment - globally distributed company and remote-friendly, operating in over 25
• Healthcare - employer contributions towards healthcare
• Equity in the company - new team members receive stock options
• Flexible time off in the US, generous entitlement in other countries
• USD$500 home office setup for remote employees
• Global Gatherings - in-person connection opportunities, company-wide offsites