Robinhood

Machine Learning Engineer Intern

Robinhood

internship

Posted on:

Location Type: Office

Location: Menlo Park • California, Colorado, Florida, Illinois, New York, Texas, Washington • 🇺🇸 United States

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Salary

💰 $37 - $48 per hour

Job Level

Entry Level

Tech Stack

PythonPyTorchScikit-LearnSpringTensorflow

About the role

  • Build and prototype tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead.
  • Assist in building platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains.
  • Maintain feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior.
  • Support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring.
  • Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems.

Requirements

  • Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field, with an expected graduation date in Winter 2026 or Spring 2027.
  • Solid foundation in software engineering, machine learning principles, algorithms, and data structures.
  • Familiarity with Python and basic ML frameworks (e.g., scikit-learn, PyTorch, or TensorFlow).
  • Interest in building agentic systems and large language models.
  • A collaborative mindset and strong communication skills.
Benefits
  • This role is also eligible to participate in a Robinhood bonus plan.
  • This role is also eligible to participate in Robinhood’s equity plan.
  • Click here to learn more about our Total Rewards, which vary by region and entity.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
software engineeringmachine learningalgorithmsdata structuresPythonscikit-learnPyTorchTensorFlowagentic systemslarge language models
Soft skills
collaborative mindsetstrong communication skills