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 Engineering Manager, Agentic AI Senior Engineering Manager for the Agentic AI team at Robinhood, focusing on building foundational agentic platforms and applications, including LLM Gateways, memory, evaluation frameworks, and autonomous customer support systems. The role involves leading and scaling a team of engineers and applied ML specialists, guiding model development and evaluation, and partnering cross-functionally to deliver AI-native fintech products. | AgentEval Gate | 8 |
| Staff Product Manager, Cortex Staff Product Manager for Robinhood's consumer-facing AI layer, Cortex. The role involves owning the product roadmap, driving technical direction for AI architecture and model strategy, building and evolving evaluation frameworks for quality, accuracy, and safety, shipping consumer experiences, and navigating the regulatory landscape for financial guidance. The goal is to evolve Cortex from a research assistant to an AI that can reason, plan, and act across investing, spending, and saving. |
| AgentEval Gate |
| 8 |
| Senior Security Engineer, AI Vulnerability Management Robinhood is seeking a Senior Security Engineer to lead the transformation of vulnerability management using AI and agentic systems. The role involves architecting automated defense systems that use AI agents to triage findings, correlate threat intelligence, and generate remediations. The engineer will also build systems to model blast radius, automate triage, and create LLM-powered dashboards for security insights. Experience with AI/agentic systems, security engineering, and modern infrastructure is required. | Agent | 8 |
| Senior Security Engineer, AI Vulnerability Management Senior Security Engineer focused on AI Vulnerability Management. The role involves architecting and deploying AI agents for automated security tasks like vulnerability triage, threat intelligence correlation, and remediation generation. It also includes building systems to model exploitability, creating automated security guardrails, and developing LLM-powered dashboards for security insights. The goal is to create a self-scaling, intelligence-driven defense system. | Agent | 8 |
| Senior Machine Learning Engineer, Agentic Robinhood is seeking a Senior Machine Learning Engineer for their Agentic team to build and ship production AI agents for financial products. The role involves developing evaluation harnesses, feedback pipelines, implementing optimization techniques (DPO, PPO, reward modeling), launching fine-tuned models in production, and collaborating with research teams on agentic reasoning, planning, and tool use. | AgentPost-train | 8 |
| Senior Penetration Tester Robinhood is seeking a Senior Penetration Tester to join their Offensive Security program. The role involves performing application security assessments, building and operating AI-assisted tools for testing, conducting threat modeling, and collaborating with engineers to fix vulnerabilities. A key focus is on researching and testing AI/ML systems, including prompt injection, tool/agent misuse, and RAG pipelines. The role also requires experience with Go and Python services, cloud environments, and cryptocurrency security. | Agent | 7 |
| Senior Staff Machine Learning Engineer Senior Staff Machine Learning Engineer at Robinhood focused on defining and upholding the quality bar for ML systems across the organization. This role involves designing evaluation frameworks, guiding model selection, and partnering with product, data science, and engineering teams to ensure systems meet clear standards for correctness, safety, latency, and user satisfaction. The work will shape how ML models are built, evaluated, and improved across Robinhood. | Eval GatePost-train | 7 |
| Senior Engineering Manager, AI Research and Development Senior Engineering Manager to lead AI Research and Development at Robinhood, focusing on building and scaling foundational AI/ML infrastructure, productionizing LLMs and advanced models for customer-facing features and internal optimizations, and guiding a team of engineers and applied ML specialists. The role emphasizes leadership, cross-functional partnership, and establishing robust engineering processes for reliable AI delivery. | ShipPost-train | 7 |
| Senior Data Scientist, ML (Brokerage) Senior Data Scientist, ML role at Robinhood focused on building and improving recommendation system algorithms for personalization in prediction markets and other product surfaces. The role involves developing features and models, collaborating with engineers on pipelines and ranking systems, and designing experiments to evaluate performance. Requires experience in recommendation systems, Python, SQL, ML systems, and production modeling. | ShipAgent | 7 |
| Senior Data Scientist, ML (Incentives) Senior Data Scientist, ML role focused on building, deploying, and iterating on predictive and causal ML models for incentive targeting and allocation in a fintech growth context. The role involves designing experiments, optimizing algorithms under constraints, and influencing long-term growth modeling strategy, including personalization and cross-sell optimization. | Ship | 7 |
| Senior Software Engineer, Agentic Robinhood is seeking a Senior Full Stack Software Engineer for their Agentic Apps team, focusing on Corporate Engineering and Business Systems. The role involves designing and building AI-powered internal applications and agents using LLMs and agentic systems. The engineer will work across frontend, backend, and AI orchestration layers to deliver user-friendly tools that improve internal workflows and contribute to broader AI initiatives. This is a product-driven role, not focused on research or model development, aiming to make agentic AI practical and production-ready. | Agent | 7 |
| People Systems Manager Robinhood is seeking a People Systems Manager to lead the design, development, and operation of their HR technology ecosystem, with a focus on Workday. This role involves hands-on technical management, including system configuration, integrations, and architecture. A key aspect is applying AI tools and automation to reduce manual HR processes, improve data accuracy, and enhance employee support, with an emphasis on building AI-powered automations and agents, and establishing an AI-first roadmap. | Agent | 7 |
| Senior Data Scientist, Fraud Robinhood is seeking a Senior Data Scientist to join their Fraud Data Science team. This role will focus on designing and deploying ML models for real-time fraud detection and prevention, analyzing behavioral data, developing data pipelines, and collaborating with engineering and product teams to enhance platform safety and integrity. The role requires experience in fraud detection or risk mitigation, proficiency in Python and SQL, and experience with ML frameworks. | Ship | 7 |