Robinhood Applied AI

Senior Machine Learning Engineer, AI Platform & Agentic Apps

  • Location Menlo Park, CA
  • Seniority staff
  • Posted 2026-09-20

Original posting ↗ You apply on the company site — we never collect applications.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

role details

Design and build the harness that every agent at Robinhood runs on, ensuring agents are trustworthy at scale.

Summary generated by AI from the original posting.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting

Skills

SparkEvalsAgentsMachine LearningAIPythonAgentic AIAgent PlatformRegulated Financial Environment

Excerpt from the original posting

Join us in building the future of finance.

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. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

ABOUT THE TEAM + ROLE

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood. Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions — they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works!

As a Staff Machine Learning Engineer on the AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. A critical part of the role is making those agents trustworthy at scale: trajectory-level evals that measure how an agent reasons and acts, and action guardrails — permission models, approval gates, and sandboxing — built as platform primitives that other teams adopt. You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from zero to one and into production. You'll help define the team's technical direction, mentor engineers, and shape how Robinhood decides an agent is ready to ship. This role offers a rare combination of technical depth, platform-scale impact, and the satisfaction of building systems that genuinely don't exist anywhere else.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to…

Robinhood · Greenhouse

Verify before you apply

  • The title, level and compensation match the original posting.
  • The role is still open — postings often close without notice, we drop them within 10 days of disappearing.
  • What "remote" means here: sometimes it is remote within one country only. The location field shows the employer’s own wording.
  • Work authorization, visa sponsorship and security clearance — these are the most common reasons an application goes nowhere.