Computer EngineeringComputer ScienceData ScienceGrowth-OrientedMachine LearningOptimizationPattern RecognitionResearch And DevelopmentSystem Performance
Senior (5-8 years) -
United States
Build cost-efficient software without slowing down innovation
105+ employees
SaaSCloud ComputingFintechData Analysis
Role
Who you are
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
Desirables
Contributions to open-source AI projects
Experience in startup environments
Active participation in AI research communities
What the job involves
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
CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, New Relic, Nubank, and Rapid7.