Senior Engineering Manager, AI Research and Development

Robinhood

Quick summary

Work type: On-site
Location: Bellevue, WAMenlo Park, CA
Salary: $298,000–$350,000 / yr
Posted: 60 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k

This role $324k

$150k most similar roles pay here $371k

This role pays more than 98% of similar roles. Most pay $179,954–$246,150 — the shaded band above. At the midpoint, this role pays about $324k versus about $213k 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 72 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 72 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Engineering Manager, AI Research and Development

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The Senior Engineering Manager for AI Research and Development leads a high-impact team at the forefront of transforming Robinhood into an AI-native financial platform. This role involves overseeing the full lifecycle of applied machine learning systems, including personalization and risk models that affect millions of users. You will guide model development, ensure secure deployment across enterprise platforms, and collaborate with cross-functional teams to align AI strategies with business goals. The ideal candidate has extensive experience in engineering leadership, hands-on expertise in productionizing advanced ML applications, and a deep understanding of ML infrastructure and security. This position requires an exceptional leader capable of driving sophisticated architectural developments while maintaining high standards for performance and security in a large-scale financial environment.

Skills

Python TensorFlow PyTorch Kubernetes AWS CI/CD MLOps Docker PostgreSQL Snowflake Git Scikit-learn Pandas NumPy Jupyter Notebook

What you'll do

Lead the development and evaluation of AI applications to ensure they are highly performant, secure, and scalable.
Oversee the creation of advanced modeling frameworks and transformer-based architectures for complex signal capture and intelligent predictions at scale.
Partner with cross-functional teams to align AI platforms with business needs and drive hyper-personalization initiatives.
Establish engineering processes that guarantee reliable delivery, code quality, and system scalability across multiple teams.
Mentor and guide a team of engineers, managers, and applied ML specialists in technical growth and career development.

What we're looking for

Proven engineering leadership with experience in hiring, managing managers, and driving organizational development.
Hands-on expertise in applied machine learning, including productionizing applications using LLMs and advanced models.
Deep understanding of ML infrastructure, platforms, and secure deployment across enterprise environments.
Ability to translate complex business goals into technical milestones and organizational strategy.
Experience leading a high-performing team responsible for the full lifecycle of applied machine learning systems.

Hybrid

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Engineering Manager, Advisory Platform

Robinhood

Menlo Park, CA +1 13 days ago $230,000–$270,000

distributed systems reliability engineering performance tuning CI/CD operational metrics architectural standards monitoring practices cloud services Python Java Go PostgreSQL Kubernetes AWS Docker

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