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 |
|---|---|---|
| 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 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 |
| Engineering Manager, Agentic AI Engineering Manager for the Agentic AI team at Robinhood, focusing on building and scaling foundational AI/ML infrastructure and LLM-powered features for financial products. The role involves leading a team of engineers and applied ML specialists, guiding model development and evaluation, and partnering cross-functionally to deliver AI-driven solutions. | Ship | 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 |