Machine Learning Engineer, AI/ML

🔥 14 hours 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

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 7%

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 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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