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Job description
About Us
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. We are building an elite team, applying frontier technologies to the world's biggest financial problems.
About the Team + Role
The Platforms Data Science team sits at the intersection of customer experience and trust, building the intelligence that powers how Robinhood supports its customers. The team develops systems that safeguard customers and the platform while making every interaction smarter: from the in-app AI assistant that helps customers research, trade, and manage their portfolios, to the AI-powered support chatbot that resolves issues autonomously, to the machine learning systems that detect and prevent fraud and abuse in real time. These systems rely on evaluation frameworks and guardrails that maintain reliability and safety across the platform. You will work with product engineering, product management, and ML infrastructure teams to deliver production-ready AI systems at scale.
As a Data Scientist, Agentic (CX), you will lead machine learning development across the customer experience stack. This includes models and prompts that power multi-agent orchestration, evaluation pipelines that measure model quality at scale, and personalization systems that determine when and how to engage customers. You will partner closely with product and engineering to improve reasoning, expand tool usage, and strengthen feedback loops between live systems and offline evaluation. The role offers ownership from experimentation through deployment, with opportunities to apply advanced AI techniques in a regulated environment.
This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.
Responsibilities
Build and deploy machine learning models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration
Design evaluation frameworks using LLM-based review methods, human feedback loops, and automated quality metrics to identify regressions before customer impact
Develop propensity, segmentation, and personalization models that support proactive outreach and tailored AI experiences
Translate advances in agent architectures into production systems, partnering with engineering on prompt design, retrieval systems, tool use, memory, and orchestration
Develop systems that maintain response quality and reliability at scale while working with product, engineering, legal, and compliance partners
Requirements
Strong Python and SQL skills, with experience building and evaluating machine learning systems end to end
Experience with agent-based AI systems, including reasoning loops, tool use, memory, retrieval-augmented generation, and orchestration
Experience designing experiments and applying causal inference methods, including A/B testing and measurement design
Comfortable working through ambiguous problems and collaborating with partners across product and engineering
Preferred Qualifications
Experience building and evaluating agent-based systems for production use
Experience developing recommendation, ranking, or personalization systems at scale
Experience working on AI products in regulated industries such as financial services
Compensation
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. In addition to base pay, this role is also eligible for bonus opportunities, equity, and benefits.
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $158,000–$185,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $139,000–$163,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $123,000–$144,000 USD
Benefits
Challenging, high-impact work to grow your career
Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best-in-class health insurance with 100% paid coverage for employees and 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life and disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces
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Worksite address
menlo park, CA, 94029, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.