ClickHouse

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Machine Learning Engineer (AI/ML)

Region Restricted

Remote work allowed only within certain countries or regions.

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$150k to $238k per year

Location

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: A USD$500 Home office setup if you’re a remote employee.

Remote flexibility

Region Restricted

Remote work is allowed, but only for candidates based in United States, Canada.

What the employer says

Source listing states candidate location: "New York, Detroit, Canada, Austin, Phoenix, Los Angeles, San Francisco, Dallas, Remote"

What Nomaders makes of it

Applications outside the listed area are usually rejected
Timezone overlap with the listed area is often expected

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

About the team

The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.

What you will do

Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.

API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.

Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.

Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.

Oncall : Participate in the daytime oncall rotation along with the rest of the team.

ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products.

What you will bring along

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 working with inference APIs and vector databases

A high level of ownership and can drive features from concept to production with minimal supervision

Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders

Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions

Nice to have

Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment

Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus

Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them

Perks

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 working with inference APIs and vector databases
·A high level of ownership and can drive features from concept to production with minimal supervision
·Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders

Benefits

·Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
·Healthcare - Employer contributions towards your healthcare.
·Equity in the company - Every new team member who joins our company receives stock options.
·Time off - Flexible time off in the US, generous entitlement in other countries.
·A USD$500 Home office setup if you’re a remote employee.

How to apply

1Check the flexibility label above, region restricted, matches where you plan to live and work.
2Tailor your CV to the role at ClickHouse, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 20d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.