Robinhood

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.

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.

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.

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.

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.

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.

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.

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.

Software Developer role focused on building internal platforms that replace manual processes with AI-driven systems for fraud investigations and other operational teams. The role involves designing and developing scalable systems, automating manual review processes, and developing AI-based applications to improve operational workflows. Collaboration with data scientists and ML engineers is key, as is owning complex technical problems end-to-end.

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.

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.

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.