Machine Learning Engineer

🔥 16 hours ago

🌐 United Kingdom, Poland, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇵🇹 Portugal – Remote 🇫🇷 France – Remote 🇪🇸 Spain – Remote 🇩🇪 Germany – Remote 🇮🇹 Italy – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 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 that benefit ClickHouse products

🎯 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 • Experience working with inference APIs and vector databases • Ability to drive features from concept to production with minimal supervision • Ability to thrive in collaborative environments and communicate technical concepts to diverse stakeholders • Applied ML 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 • Familiarity with AWS, Azure, or GCP, particularly AI/ML deployment services (nice to have) • Understanding of database systems and data processing pipelines; ClickHouse experience is a plus (nice to have) • Experience with embedding-based systems, including retrieval, ranking, recommenders, and representation learning (nice to have)

🏖️ Benefits

• Flexible work environment; ClickHouse is globally distributed and remote-friendly • 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 for remote employees • Opportunities to engage with colleagues at company-wide offsites

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