Currently tracking 12 active AI roles, down 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $187k–$350k (avg $243k).
Fintech · Retail trading
| Title | Stage | AI score |
|---|---|---|
| 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 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 |