Robinhood
Fintech · Retail trading
- HQ
- Palo Alto, US
- Founded
- 2013
- Website
- robinhood.com
Robinhood currently has 11 active job listings for AI-related roles. The company is primarily hiring for roles focused on agents and serving infrastructure, each representing 36% of the open positions. Engineering is the dominant function, with 10 of the 11 roles listed. Frequent tech tags include model serving, fine-tuning, and inference infrastructure, suggesting a focus on deploying and optimizing AI models. Over the last 30 days, Robinhood has added 7 new AI roles, a 133% increase compared to the previous 30-day period.
Fintech · Retail trading
Currently tracking 7 active AI roles, up 85% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$350k (avg $228k).
Robinhood currently has 12 active AI-related roles in our index. The most common open titles are: Software Engineer (2), Machine Learning Engineer, Manager of Response, Automation, Intelligence & Detection Engineering, Privacy Engineer, Senior Software Engineer. Most positions are in Engineering and Product.
Robinhood's active AI hiring is concentrated in: agents (42%), serving infrastructure (33%), application (17%). 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 (7 roles), Canada (2 roles).
Job postings at Robinhood most frequently mention: Machine Learning, Testing Practices, Technical Documentation, Software Engineering, Real-Time Systems.
In the past 30 days, Robinhood has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer, AI R&D Staff Machine Learning Engineer on the AI R&D team at Robinhood, focusing on designing, building, and shipping end-to-end personalization, ranking, and recommendation systems. The role involves owning the full ML lifecycle, partnering with product and data engineering, leading zero-to-one development in a regulated fintech environment, and evaluating modern AI paradigms like agentic workflows and LLM fine-tuning. The position requires significant experience in ML engineering, personalization/recommendation systems, and a track record of shipping production models at scale. | ShipAgent | 8 |
| 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 |
| Machine Learning Engineer Robinhood is seeking a Machine Learning Engineer to join their AI Research and Development team. The role focuses on implementing and evaluating ML algorithms, developing scalable models for ranking and recommendation systems, and applying techniques like collaborative filtering, content-based filtering, hybrid models, Learning to Rank (LTR), reinforcement learning, and multi-armed bandits. The engineer will also design and conduct A/B tests, analyze experimental data, collaborate with cross-functional teams, and build reusable ML libraries. | AgentPost-train | 8 |
| Staff Product Manager, Platform Operations Staff Product Manager for Robinhood's Operations Platform team, focusing on building and maintaining critical infrastructure, tooling, and automation for Customer Trust & Safety Operations. The role involves owning product strategy for case management, ML/AI alert resolution, operational readiness for new products/geos, and customer experience during fraud controls. The goal is to detect and mitigate fraud in real-time, protect customer assets, and ensure a secure, trusted platform. | AgentServe | 7 |
| Staff Data Scientist, ML (People Analytics & Insights) Staff Data Scientist role focused on building predictive frameworks and integrating AI into workforce systems for talent management and insights. This involves architecting data models, defining metrics, and redesigning employee sentiment analysis using language models and predictive analytics. | DataAgent | 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, monitoring, and ensuring compliance with security and privacy requirements. | ServePost-train | 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 |