Robinhood
Fintech · Retail trading
- HQ
- Palo Alto, US
- Founded
- 2013
- Website
- robinhood.com
Fintech · Retail trading
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 |