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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Machine Learning Engineer

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
  • 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

What You'll Be Doing

  • 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

Perks and 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
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites
AI Summary ✨

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