Data Scientist, ML (Agentic, CX)

Robinhood • Menlo Park, CA

22h • Hybrid

About The Position

Robinhood is seeking a Data Scientist, ML (Agentic, CX) to join their elite team applying frontier technologies to financial problems. The Platforms Data Science team focuses on customer experience and trust, developing intelligence systems that power customer support, safeguard the platform, and detect fraud. This role involves working with product engineering, product management, and ML infrastructure teams to deliver production-ready AI systems at scale. The Data Scientist will lead machine learning development across the customer experience stack, focusing on models and prompts for multi-agent orchestration, evaluation pipelines, and personalization systems. The role offers end-to-end ownership from experimentation to deployment, with opportunities to apply advanced AI techniques in a regulated environment. This position is based in Menlo Park, CA and New York, NY, requiring at least 3 days per week in the office.

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

Nice To Haves

• 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

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

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
• 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Company holidays, paid time off, sick time, parental leave
• Exceptional office experience with catered meals, events, and comfortable workspaces

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed