Staff Machine Learning Engineer, AI RD

Robinhood

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WAMenlo Park, CA
Salary
$255,000–$300,000 / yr
Posted
45 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $278k
$171k most similar roles pay here $314k

This role pays more than 88% of similar roles. Most pay $197,981–$254,750 — the shaded band above. At the midpoint, this role pays about $278k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 35 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 35 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Staff Machine Learning Engineer, AI RD

As a Staff Machine Learning Engineer on the AI RD team, you will serve as a technical anchor responsible for the design and delivery of sophisticated personalization, ranking, and recommendation systems. You will manage the full machine learning lifecycle, from feature engineering to model deployment and monitoring, while collaborating with product and data engineering teams to translate complex financial data into intelligent systems. Your daily work involves leading zero-to-one development of new capabilities, conducting architecture reviews, and mentoring other engineers. You will utilize Python and ML infrastructure tools to implement modern AI paradigms, including agentic workflows and LLM fine-tuning. The role focuses on solving personalization and search problems within a highly regulated fintech environment, specifically building systems for social feeds, fraud detection, and risk management to improve the user experience across the platform.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 66 postings across 14 companies.

See salary data

What you'll do

  • Design and ship end-to-end personalization, ranking, and recommendation systems for core products like search and social feeds.
  • Manage the full machine learning lifecycle from feature engineering through model deployment and monitoring.
  • Lead zero-to-one development of new ML capabilities in a high-stakes, regulated fintech environment.
  • Integrate modern AI paradigms including agentic workflows and LLM fine-tuning into existing systems.
  • Partner with product and data engineering teams to define technical strategy and scope complex projects.
  • Conduct architecture and code reviews to set the technical bar for the AI R&D team.
  • Mentor other engineers to improve the craft and velocity of the broader machine learning team.

What we're looking for

  • Must have 10+ years of experience as a Machine Learning Engineer.
  • Must possess a Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience.
  • Must have strong coding skills in Python and familiarity with ML infrastructure tooling.
  • Must have demonstrated expertise in building end-to-end personalization and recommendation systems in high-traffic environments.
  • Must have a track record of shipping models to production at scale.
  • Must have experience with agentic workflows, LLM fine-tuning, or other modern AI paradigms.
  • Must be able to lead zero-to-one development of new ML capabilities from prototyping to production.
  • Must be able to work in person at least 3 days per week in the Menlo Park or Bellevue offices.

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