Senior Software Engineer, Robinhood

• We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future
• This position is ideal for a software engineer who enjoys working on a team to solve ambitious problems with a high degree of autonomy
• Candidates should be experienced in developing full stack solutions, working with data insight functions, and step up to own increasingly strategic work over time
• Educational Background: Bachelor's or Master's degree in a quantitative field (physics, mathematics, computer science, statistics, engineering)
• Professional Experience: 5+ years post-undergraduate or 3+ years post-graduate experience in full stack engineering and business strategy; relevant positions include technical roles at management consulting firms, investment firms, or technology companies developing internal applications
• Proficient in the AWS ecosystem, with substantial experience in developing, deploying, and monitoring internal applications. Certifications are a plus (AWS Certified Developer, Solutions Architect, Data Engineer, or DevOps Engineer, etc)
• Advanced proficiency in Python programming and knowledge of SQL
• Experience with at least one front-end framework, along with familiarity with JavaScript, Node and HTML
• Excellent communication abilities with a team-first approach. Capable of driving data informed decision-making and effectively engaging with stakeholders across multiple functions
• Strong ownership mentality with a consistent track record of employing creative solutions to achieve results. Must be a self-starter capable of navigating through ambiguity and adapting in a dynamic work environment

Desirable

• The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Robinhood's Corporate Strategy organization
• Our goal is to deepen insights into customer behaviors and satisfaction using data science, machine learning, and AI
• We partner with several teams across Robinhood including: Data, Product, Marketing, Eng, Finance, and Research
• Our work drives operational efficiency, company-wide strategy and is integrated into DS/AI pipelines
• As a Customer Intelligence Engineer, you will be responsible for developing our internal tooling infrastructure for AI use cases, maintaining ML/data pipelines and supporting customer insights research
• The role offers scope for technical growth while developing AI, business and product competencies
• Systems Engineering: Collaborate with our Data, Engineering, and ML Platform teams to establish a reusable framework designed to efficiently distribute customer insights. Your role will involve architecting and integrating both front-end and back-end systems, as well as developing internal apps and data pipelines
• Operationalizing LLMs: Engage in the application of large language models through prompt research and design, system architecting and operationalization
• Data Tooling: Facilitate team-level reporting by establishing processes that gather and consolidate data from diverse internal and external sources, ensuring reliable and actionable information flow
• Research: Assist in the generation of team insights and analyses through customer research, supporting strategic initiatives and improving the understanding of customer dynamics