Opportunity at
RobinhoodStaff Machine Learning Engineer, AI R&D
Robinhood is seeking a Staff Machine Learning Engineer to join its AI R&D team and help transform the financial industry. The company operates at the intersection…
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About This Role
Robinhood is seeking a Staff Machine Learning Engineer to join its AI R&D team and help transform the financial industry. The company operates at the intersection of technology and finance, striving to make wealth management accessible to a broader audience through product intelligence systems. In this position, you will drive the architecture and deployment of large-scale ranking, recommendation, and personalization engines. You will collaborate closely with product management and data…
Job Description
Robinhood is seeking a Staff Machine Learning Engineer to join its AI R&D team and help transform the financial industry. The company operates at the intersection of technology and finance, striving to make wealth management accessible to a broader audience through product intelligence systems.
In this position, you will drive the architecture and deployment of large-scale ranking, recommendation, and personalization engines. You will collaborate closely with product management and data engineering to translate complex financial datasets into intelligent features that power search capabilities, social feeds, and growth initiatives. The role suits an experienced practitioner who thrives in fast-paced environments, values high ethical standards, and is eager to apply modern techniques like LLM fine-tuning and agentic workflows to real-world financial data.
This is a full-time, on-site position requiring attendance at least three days per week in either the Menlo Park, California or Bellevue, Washington office.
Responsibilities
- Design, construct, and deploy end-to-end personalization, ranking, and recommendation systems supporting growth, search, and social feeds.
- Partner with data engineering, product, and platform groups to establish technical strategies and manage concurrent projects.
- Lead the creation of new machine learning capabilities from initial concept to production scale within a regulated financial framework.
- Experiment with and integrate contemporary AI approaches, including agentic workflows and large language model fine-tuning.
- Establish high technical standards by performing code and architecture reviews, and by providing mentorship to team members.
Requirements
- At least 10 years of professional background as a Machine Learning Engineer.
- Solid grounding in core machine learning principles covering deep learning, optimization, ranking, and recommendation engines.
- Demonstrated history of launching personalization and recommendation systems into production within high-traffic environments.
- Proven capacity to bring ambitious projects from conception to fully realized production solutions.
- Proficiency in Python alongside familiarity with machine learning infrastructure tooling.
Qualifications
- A Master's degree in Statistics, Computer Science, or a related technical discipline, or equivalent professional practice.
- Direct exposure to or hands-on experience with LLM fine-tuning, agentic systems, or other modern AI methodologies.
Core Skills
Benefits
- Performance-driven compensation structures featuring outsized impact multipliers, bonus schemes, equity ownership, and 401(k) matching.
- Comprehensive health insurance covering 100% of employee premiums and 90% for dependents.
- Access to leading market AI tools paired with continuous skill-building resources.
- A flexible lifestyle wallet designed for wellness and learning expenses.
- Employer-paid life and disability insurance, alongside fertility and mental health support.
- Paid time off covering holidays, sick leave, parental leave, and general vacation days.
- On-site perks including catered meals, structured workspaces, and community events.
Frequently Asked Questions
What is the employment type for this role?
This is a full-time position.
Where is the job located?
The position is based out of the Menlo Park, California and Bellevue, Washington offices, with an expectation of in-person attendance at least three days a week.
What is the salary range for this position?
Base pay varies by location compensation zones: Zone 1 offers $255,000 to $300,000 USD, Zone 2 offers $225,000 to $264,000 USD, and Zone 3 offers $199,000 to $234,000 USD. The role also includes bonus opportunities, equity, and benefits.
What experience is required to apply?
Applicants must have 10+ years of experience as a Machine Learning Engineer with a strong foundation in deep learning, ranking, and recommendation systems, plus a history of shipping models to production at scale.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.