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Описание вакансии
Текст:
TL;DR
AI/ML Software Engineer (Python/PyTorch/ClickHouse): Building and operating AI-powered features, inference APIs, ecosystem integrations, and machine learning pipelines for the ClickHouse Cloud platform with an accent on production model deployment, vector databases, observability, and evaluation. Focus on designing scalable AI services, integrating models into production, and training or fine-tuning custom models when off-the-shelf solutions fall short.
Location: Remote in the United States or Canada; listed US locations include New York, Austin, Dallas, Detroit, Los Angeles, Phoenix, and San Francisco.
Salary: $150,000–$215,000 for US general locations; $170,000–$238,000 in premium locations. Equity is offered.
Company
ClickHouse is a fast-growing cloud company focused on real-time analytics, data warehousing, observability, and AI workloads.
What you will do
- Design and implement AI-powered features across backend inference services and frontend interfaces in ClickHouse Cloud.
- Create scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and internal or external services.
- Build and maintain integrations with AI/ML frameworks, tools, and ecosystem standards.
- Deploy models into production with monitoring, versioning, observability, and evaluation.
- Own ML pipelines covering data, training, evaluation, and custom model fine-tuning or training.
- Participate in the daytime on-call rotation.
Requirements
- 5+ years of software engineering experience in production environments.
- Hands-on experience with AI/ML technologies and deploying models in production.
- Experience with inference APIs and vector databases.
- Applied ML experience in Python, including Jupyter, PyTorch, and common ML libraries.
- Experience with compute clusters such as Ray or Slurm and designing reliable experiments for architectural decisions.
- Strong ownership, technical communication, and ability to drive features from concept to production.
Nice to have
- Experience with AWS, Azure, or GCP services for AI/ML deployment.
- Understanding of database systems and data processing pipelines; ClickHouse experience is a plus.
- Experience with embedding-based systems, retrieval, ranking, recommenders, and representation learning.
Culture & Benefits
- Remote-friendly environment at a globally distributed company operating in more than 25 countries.
- Employer healthcare contributions.
- Stock options for new team members.
- Flexible time off in the US and generous leave entitlement in other countries.
- $500 home office setup allowance for remote employees and opportunities to attend company-wide offsites.
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