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CloudZero logoCloudZero

Principal Research Engineer

Skills
Computer EngineeringComputer ScienceData ScienceGrowth-OrientedMachine LearningOptimizationPattern Recognition
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of experience in AI research machine learning engineering or similar role with a proven track record of delivering impactful AI-driven projects
  • Deep experience in cloud computing environments (AWS Azure Google Cloud) with understanding of cloud architecture and services
  • Strong background in designing implementing and optimizing large-scale machine learning models and systems
  • Proficiency in data processing analysis and visualization including big data technologies (e.g. Kafka Flink Delta Lake)
  • Ability to lead and execute complex AI research projects from ideation to deployment focusing on driving business value
  • Strong collaboration skills working cross-functionally with product management engineering and business stakeholders
  • Excellent communication skills to articulate complex AI concepts and research findings to technical and non-technical audiences
  • Contributions to open-source AI projects or active participation in AI research communities
  • Experience in a startup or fast-paced growth-oriented environment

Nice to have

  • Contributions to open-source AI projects
  • Experience in startup environments
  • Active participation in AI research communities

Day to day

  • Partner closely with CTO to explore cutting-edge AI technologies and their applications to solve complex business challenges
  • Lead high-impact research initiatives and develop prototypes
  • Collaborate with cross-functional teams to translate findings into actionable solutions aligned with business goals and growth
  • Identify AI opportunities to drive value in marketing and business
  • Bridge the gap between technical research and business needs to deliver innovative solutions
  • Collect process and analyze large datasets from cloud environments to train AI models
  • Conduct rigorous experimentation to achieve best outcomes in terms of accuracy efficiency and scalability

Hiring process

  • Background check
  • Reference check