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.
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 |
|---|---|---|
| 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 |
| Privacy Engineer Robinhood is seeking a Privacy Engineer to embed privacy into their technology and culture. The role involves leading privacy reviews, guiding the design of privacy-enhancing technologies, and scaling privacy-by-design programs. A key aspect is championing the use of AI and agentic tooling to automate and scale privacy operations. |
| Agent |
| 5 |
| Software Developer, Ops Platform and Fraud Investigations Software Developer role focused on building internal platforms that replace repetitive manual processes with AI-driven systems for operational teams (Fraud, Account Ops, Financial Crimes, Retirement Services). The role involves designing and building tools to process large datasets, support fraud investigation, and automate manual review processes by collaborating with data scientists and ML engineers. The goal is to improve system reliability, reduce operational effort, and increase the speed of new product support. | Agent | 5 |
| Manager of Response, Automation, Intelligence & Detection Engineering Manager leading teams focused on security operations, detection engineering, incident response, and threat intelligence. The role involves maturing these capabilities by improving detection coverage, response workflows, and operational readiness, with a strong emphasis on driving the adoption of AI and automation to enhance analyst productivity, accelerate investigations, and scale security operations. The position requires leadership experience in security operations and the ability to translate emerging threats into scalable defenses. | Agent | 5 |