Robinhood currently has 13 active AI-related job listings. The majority of these roles, 69%, are focused on agents, with the remaining 31% in application. Engineering roles are the most frequent, with 11 positions, while Product has 2. The company is hiring for these positions primarily in the United States and Canada. Frequent tech tags include llm_observability, agent_orchestration, and guardrails, suggesting a focus on managing and deploying AI agents. In the last 30 days, Robinhood posted 3 new AI roles, a 50% decrease compared to the previous 30-day period.
Currently tracking 9 active AI roles, up 65% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $187k–$350k (avg $243k).
Robinhood currently has 17 active AI-related roles in our index. The most common open titles are: Senior Security Engineer, AI Vulnerability Management (2), Software Engineer (2), Brokerage Risk, Senior Technical Analyst, Machine Learning Engineer, People Systems Manager. Most positions are in Engineering and Product.
Robinhood's active AI hiring is concentrated in: agents (59%), application (18%), serving infrastructure (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Robinhood is hiring AI talent in: United States (10 roles), Canada (6 roles).
Job postings at Robinhood most frequently reference: agent orchestration, model serving, evals, guardrails, llm observability.
In the past 30 days, Robinhood has posted 9 new AI-related roles. That is a +50% change versus the prior 30 days (6 → 9).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer Senior Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial products. The role involves end-to-end ML pipeline development, from data ingestion and feature engineering to model training, evaluation, deployment, and production monitoring, with an emphasis on low-latency inference and reliability. | ServeData | 8 |
| Software Engineer Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial platforms. Responsibilities include end-to-end ML pipeline implementation, model lifecycle management, production integration with low-latency inference, monitoring, and ensuring compliance with security and privacy requirements. | Serve |
| 7 |
| Software Engineer Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial platforms. Responsibilities include end-to-end ML pipeline implementation, model lifecycle management, production integration with low-latency inference, and monitoring. The role emphasizes applying software engineering best practices to ML codebases and ensuring compliance with security and privacy requirements. | ServePost-train | 7 |