Artificial Intelligence Engineer

Qualifications

•You want a role with major upside that tackles a massive market opportunity

•You are a serial startup builder or want to earn growth stage experience before becoming a founder yourself

Responsibilities

•Grow our AI and ML capabilities by contributing ideas and launching and completing new engineering projects

•Partner across all teams including engineers, AI scientists, researchers, designers, and product managers to bring new features into production

•Serve our customers by helping them unlock insights about their marketing efforts through our products

•Python programming: Experience delivering production-ready python programs

•Relational databases: Experience in querying, designing and optimizing relational databases such as Postgres

•Software development lifecycle management: Experience owning projects end-to-end from scoping, designing, coding, release and continuous monitoring in production environment

•ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow

•Database systems: Experience working with one of more of non-SQL databases such as Druid, Elasticsearch and neo4j

•AWS: Experience deploying and managing applications on AWS

•Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment

•Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory

•You want to build something that is both technologically challenging and solves a real customer need