Senior Software Engineer

What you'll do 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. What you bring 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. Education and/or experience must include: Python, Java, Scala, or GoLang; Machine learning frameworks; Data processing and feature engineering frameworks; Supervised and unsupervised learning techniques; ML pipeline and deployment tools; Model monitoring and observability tools; and Testing and artifact versioning 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) 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! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + 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. Base Pay Range: $213,512 - $245,000 per year To Apply: Apply by clicking APPLY NOW. Indicate job code AIMLMPI5 in your application. Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the for your country of application.