GrepJob
Robinhood

Software Engineer

Robinhood
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about 3 hours ago
Menlo Park, CA, USAEntry Level / Mid Level
H1B Sponsor

Base Salary

$162k - $200k/yr

Responsibilities

  • Build, test, and release product-facing features with stringent correctness and scalability requirements.
  • Design, develop, and maintain machine learning models and AI-powered services.
  • Implement end-to-end ML pipelines, including data ingestion and model deployment.
  • Collaborate with product, data, and engineering teams to create machine learning solutions.
  • Own ML components throughout their full lifecycle, from experimentation to production monitoring.
  • Improve model performance and reliability through validation and optimization.
  • Integrate ML models into production systems for low-latency inference.
  • Monitor model performance and participate in debugging and incident response.
  • Apply software engineering best practices to ML codebases.
  • Ensure ML systems comply with security, privacy, and compliance requirements.
  • Document model designs and operational considerations.

Requirements

  • Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
  • One year of experience in the job offered or a related occupation.
  • Proficiency in Java or Python.
  • Experience with backend service frameworks and RESTful APIs.
  • Familiarity with relational databases and unit testing frameworks.
  • Knowledge of logging and monitoring tools and version control systems.
  • Background checks are required.

Benefits

  • Challenging, high-impact work to grow your career.
  • Performance-driven compensation with bonuses and equity ownership.
  • 100% paid health insurance for employees and 90% for dependents.
  • Flexible benefits spending account for wellness and learning.
  • Employer-paid life and disability insurance, fertility benefits, and mental health support.
  • Time off for company holidays, paid time off, sick leave, and parental leave.
  • Exceptional office experience with catered meals and comfortable workspaces.

Tech Stack

Categories

AI & MLBackendData Engineering