Senior Machine Learning Engineer, AI Platform & Agentic Apps
Core
Design and build the core harness for Robinhood's agentic AI platform, enabling agents to safely take real actions for employees and customers in a regulated financial environment.
Role type
Staff Machine Learning Engineer (Agentic AI Platform)
Builds
A unified agent platform powering internal and customer-facing AI agents that execute code, query data, and run operational workflows.
Domain
Financial Technology / Agentic AI / Large Language Models
Deliverable
production ML models | product features | infrastructure
Required skills
distributed systems, LLM-powered system design, trajectory-level evaluation, action guardrails architecture, simulation environments, platform engineering, technical leadership
Preferred skills
agentic system orchestration, tool use and context management, multi-step planning, LLM-as-judge grading, eval data versioning
Technologies
Python, frontier LLMs, simulation environments, SDKs, CI/CD pipelines
Responsibilities
Design and build the agent harness for orchestration, tool integrations, and memory management; Ship end-to-end agentic applications; Build trajectory-level evaluation systems; Architect action guardrails as platform primitives; Create adoptable eval and guardrail products; Set technical direction through architecture and code reviews.
Seniority
Staff, hands-on IC with mentorship and technical direction