Senior Software Engineer

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 Senior 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.

Design, develop, and maintain complex machine learning models and AI-powered services that support core product features and decision-making systems. Lead the design and implementation of end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment. Partner closely with product, data, and engineering teams to translate complex business problems into scalable machine learning solutions.

Own ML components end to end, including experimentation, architecture, implementation, deployment, production monitoring, and iteration. Drive improvements in model performance, reliability, and scalability through rigorous experimentation, validation, and optimization. Design and oversee the integration of ML models into production systems, ensuring low-latency inference and reliable service operation.

Define monitoring strategies for model performance and data quality, and lead debugging, incident response, and remediation efforts. Uphold high standards of software engineering in ML codebases through code reviews, testing strategies, and documentation. Ensure ML systems meet security, privacy, and compliance requirements for sensitive data handling.

Author and maintain technical documentation for model designs, evaluations, and operational considerations. Telecommuting permitted.

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 5 years of progressively responsible experience in the job offered or related occupation. Alternatively, a Master’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 is acceptable.

• 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

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

To Apply: Apply by clicking APPLY NOW. Indicate job code AIMLMPI5 in your application.