Machine Learning Engineer, AI/ML

🔥 3 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🌵 Arizona, California, +3 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🗽 New York – Remote 🚗 Michigan – Remote 🤠 Texas – Remote

💵 $170k - $238k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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ClickHouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $400M Series D on 2026-01

SaaS • Enterprise • Artificial Intelligence

ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

📋 Description

• Design and implement AI-powered features across the full stack of the ClickHouse Cloud platform • Build backend inference services and intuitive frontend interfaces • Create robust, scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and external/internal AI services • Implement and maintain integrations with the broader AI/ML ecosystem and standards • Integrate models into production systems with monitoring, versioning, observability, and evaluation • Participate in the daytime on-call rotation • Own the ML pipeline end to end, including data, training, and evaluation • Fine-tune or train custom models when off-the-shelf models are insufficient • Track the state of the art and apply improvements to ClickHouse products

🎯 Requirements

• 5+ years of software engineering experience in production environments • Exposure to AI/ML technologies • Experience integrating and deploying AI/ML models in production systems • Experience with inference APIs and vector databases • Ability to drive features from concept to production with minimal supervision • Ability to communicate technical concepts to diverse stakeholders • Applied ML experience in Python, Jupyter, PyTorch, and common ML libraries • Hands-on experience with compute clusters such as Ray and Slurm • Ability to design trustworthy experiments for architectural decisions • Familiarity with AWS, Azure, or GCP, particularly AI/ML deployment services (nice to have) • Understanding of database systems and data processing pipelines (nice to have) • ClickHouse experience (nice to have) • Experience with embedding-based systems, including retrieval, ranking, and recommenders (nice to have)

🏖️ Benefits

• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites

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