Software Engineer

Join us in building the future of finance.

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

As a Software Engineer at Robinhood, you will be responsible for building, testing, and releasing product-facing features with stringent correctness and scalability requirements. You will design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems.

Key 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 that support product features and decision-making systems.
• Implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with product, data, and engineering teams to translate business problems into machine learning solutions.
• Own ML components throughout their full lifecycle, including experimentation, implementation, deployment, production monitoring, and iteration.
• Improve model performance, reliability, and scalability through experimentation, validation, and optimization.
• Integrate ML models into production systems, ensuring low-latency inference and reliable service operation.
• Monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts.

Requirements:

• Master's degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 1 year of experience in the job offered or related occupation.
• Education and/or experience must include: Python, Java, Scala, or GoLang; Machine learning frameworks; Data processing frameworks; Feature engineering tools; Supervised and unsupervised learning techniques; ML pipeline and deployment tools; and Model monitoring tools.

What We Offer:

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

Base Pay Range: $161,637 - $200,000 per year

To Apply: Apply by clicking APPLY NOW. Indicate job code AIML4BMPI4 in your application.