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Robinhood currently has 11 active job listings for AI-related roles. The company is primarily hiring for roles focused on agents and serving infrastructure, each representing 36% of the open positions. Engineering is the dominant function, with 10 of the 11 roles listed. Frequent tech tags include model serving, fine-tuning, and inference infrastructure, suggesting a focus on deploying and optimizing AI models. Over the last 30 days, Robinhood has added 7 new AI roles, a 133% increase compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-08-02

Robinhood

Robinhood

Fintech · Retail trading

HQ
Palo Alto, US
Founded
2013
Website
robinhood.com

Currently tracking 7 active AI roles, up 85% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$350k (avg $228k).

Hiring
7 / 27
Momentum (4w)
↑+28 +85%
61 opens last 4w · 33 prior 4w
Salary range · avg $228k
$118k–$350k
USD · disclosed roles only
Tracked since
Aug '25
last role 6d ago
Hiring velocityscroll left for older weeks
1 new role
Dec 5
1 new role
Sep 25
1 new role
Jan 29
1 new role
Feb 12
1 new role
Jan 13
1 new role
Feb 3
2 new roles
May 5
1 new role
19
1 new role
Jun 2
3 new roles
Jul 28
1 new role
Aug 4
2 new roles
25
2 new roles
Sep 22
2 new roles
Oct 13
2 new roles
20
1 new role
27
1 new role
Nov 24
1 new role
Dec 1
1 new role
15
3 new roles
Jan 5
6 new roles
12
6 new roles
19
4 new roles
26
4 new roles
Feb 2
4 new roles
9
5 new roles
16
3 new roles
23
5 new roles
Mar 2
6 new roles
9
14 new roles
16
10 new roles
23
4 new roles
30
7 new roles
Apr 6
18 new roles
13
8 new roles
20
8 new roles
27
16 new roles
May 4
15 new roles
11
11 new roles
18
12 new roles
25
43 new roles
Jun 1
15 new roles
8
5 new roles
15
10 new roles
22
6 new roles
29
12 new roles
Jul 6
11 new roles
13
19 new roles
20
17 new roles
27
14 new roles
Aug 3

Frequently asked questions

  • What AI roles is Robinhood hiring for?

    Robinhood currently has 12 active AI-related roles in our index. The most common open titles are: Software Engineer (2), Machine Learning Engineer, Manager of Response, Automation, Intelligence & Detection Engineering, Privacy Engineer, Senior Software Engineer. Most positions are in Engineering and Product.

  • What stage of AI development does Robinhood focus on?

    Robinhood's active AI hiring is concentrated in: agents (42%), serving infrastructure (33%), application (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Robinhood hiring AI talent?

    Robinhood is hiring AI talent in: United States (7 roles), Canada (2 roles).

  • What skills does Robinhood look for in AI roles?

    Job postings at Robinhood most frequently mention: Machine Learning, Testing Practices, Technical Documentation, Software Engineering, Real-Time Systems.

  • How many AI roles has Robinhood posted recently?

    In the past 30 days, Robinhood has posted 7 new AI-related roles.

Jobs (6)

7 AI · 130 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Serve · 3Agent · 2Ship · 1
Function
AllEngineering · 6Product · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Staff Machine Learning Engineer, AI R&D
Staff Machine Learning Engineer on the AI R&D team at Robinhood, focusing on designing, building, and shipping end-to-end personalization, ranking, and recommendation systems. The role involves owning the full ML lifecycle, partnering with product and data engineering, leading zero-to-one development in a regulated fintech environment, and evaluating modern AI paradigms like agentic workflows and LLM fine-tuning. The position requires significant experience in ML engineering, personalization/recommendation systems, and a track record of shipping production models at scale.
ShipAgentEngineeringBellevue, WA +12w ago8
Senior Software Engineer
Senior Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial products. The role involves end-to-end ML pipeline development, from data ingestion and feature engineering to model training, evaluation, deployment, and production monitoring, with an emphasis on low-latency inference and reliability.
ServeDataEngineering[ProspectLand]Jun 28
Machine Learning Engineer
Robinhood is seeking a Machine Learning Engineer to join their AI Research and Development team. The role focuses on implementing and evaluating ML algorithms, developing scalable models for ranking and recommendation systems, and applying techniques like collaborative filtering, content-based filtering, hybrid models, Learning to Rank (LTR), reinforcement learning, and multi-armed bandits. The engineer will also design and conduct A/B tests, analyze experimental data, collaborate with cross-functional teams, and build reusable ML libraries.
AgentPost-trainEngineering[ProspectLand]Jun 28
Staff Data Scientist, ML (People Analytics & Insights)
Staff Data Scientist role focused on building predictive frameworks and integrating AI into workforce systems for talent management and insights. This involves architecting data models, defining metrics, and redesigning employee sentiment analysis using language models and predictive analytics.
DataAgentEngineeringChicago, IL +23w ago7
Software Engineer
Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial platforms. Responsibilities include end-to-end ML pipeline implementation, model lifecycle management, production integration with low-latency inference, monitoring, and ensuring compliance with security and privacy requirements.
ServePost-trainEngineering[ProspectLand]Jun 27
Software Engineer
Software Engineer at Robinhood focused on building and deploying machine learning models and AI-powered services for core financial platforms. Responsibilities include end-to-end ML pipeline implementation, model lifecycle management, production integration with low-latency inference, and monitoring. The role emphasizes applying software engineering best practices to ML codebases and ensuring compliance with security and privacy requirements.
ServePost-trainEngineering[ProspectLand]Jun 27