Machine Learning Engineer (AI/ML)

📍 Canada
📍 Austin, United States
📍 Dallas, United States
📍 Detroit, United States
📍 New York City, United States
📍 Phoenix, United States
📍 Los Angeles, United States
📍 San Francisco, United States

USD 150,000-238,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 AWS @ 3 Azure @ 3 ClickHouse @ 1 GCP @ 3 Machine Learning @ 4 Observability PyTorch @ 4 Python @ 4 Slurm @ 4 Vector Databases @ 4

Details

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is a rapidly growing private cloud company focused on real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end to end, including the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships.

Responsibilities

Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces within the ClickHouse Cloud platform.
Create robust, scalable APIs connecting ClickHouse database capabilities with modern AI/ML inference systems and internal and external AI services.
Implement and maintain integrations with the broader AI/ML ecosystem and related 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 developments in the state of the art and apply improvements that benefit the 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, including inference APIs and vector databases.
High level of ownership and ability to drive features from concept to production with minimal supervision.
Ability to work collaboratively and communicate technical concepts effectively to diverse stakeholders.
Applied machine learning experience in Python, including Jupyter, PyTorch, and common ML libraries.
Hands-on experience with compute clusters such as Ray and Slurm.
Ability to design trustworthy experiments to drive architectural decisions.

Nice to Have

Familiarity with AWS, Azure, or GCP, particularly services related to AI/ML deployment.
Understanding of database systems and data processing pipelines. ClickHouse experience is a significant plus.
Experience with embedding-based systems, including retrieval, ranking, and recommenders, and the representation-learning concepts behind them.

Benefits

Flexible, remote-friendly work environment at a globally distributed company operating in more than 25 countries.
Employer healthcare contributions.
Stock options for every new team member.
Flexible time off in the United States and generous entitlement in other countries.
USD 500 home office setup allowance for remote employees.
Opportunities to participate in company-wide offsites and global gatherings.

Equal Opportunity

ClickHouse provides equal employment opportunities and prohibits discrimination and harassment based on protected characteristics under applicable law.