Software Engineer

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role 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. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do 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. Apply software engineering best practices to ML codebases, including testing, code reviews, documentation, and version control. Ensure ML systems adhere to security, privacy, and compliance requirements when handling sensitive data. Document model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharing. Telecommuting permitted. What you bring Bachelor’s degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 3 years 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. Background checks required 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) m