> Markdown version of [/jobs/ext/4503972-ai-researcher](https://www.wearedevelopers.com/jobs/ext/4503972-ai-researcher). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Researcher - **Company:** Charles Schwab Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $105,600 - $234,600 - **Contract:** Permanent contract - **Skills:** AI Evaluation, Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Agentic-AI, Pandas, Information Technology - **Published:** November 2, 2026 - **Apply:** https://www.themuse.com/jobs/charlesschwab/ai-researcher-aix-c997c8 ## About the Role * Master's degree or higher in Computer Science, Machine Learning, Mathematics, Physics, or a related field, or equivalent practical experience. * 7+ years of experience building, deploying, and operating machine learning or AI systems using Python in production environments. * Demonstrated experience delivering GenAI or LLM-powered applications that are actively used by clients or internal teams. * Strong grounding in data analysis (Python, SQL, Pandas), experimentation, and evaluation, with the ability to assess model quality, reliability, and trade-offs under real constraints. * Experience working cross-functionally with engineering, product, and other stakeholders to move complex technical work from concept to production., * Experience designing or operating agentic-based or orchestrated AI systems, including tool-enabled or multi-step workflows. * Familiarity with AI evaluation, monitoring, or reliability practices that support long-running production systems. * Experience operating AI solutions in regulated, high-stakes, or risk-sensitive environments. * Technical leadership or mentoring experience, including influencing standards, patterns, or best practices across teams. ## Description At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). As an AI Researcher within Schwab's Artificial Intelligence Strategy & Transformation (AI.x) organization, you'll operate at the intersection of advanced applied research and production-grade AI systems that support millions of investors, advisors, and employees. This role is designed for researchers who want their work to ship, scale, and deliver measurable impact in real environments-where latency, reliability, cost, and regulatory considerations matter as much as model performance. In this role, you'll take ideas from early problem formulation through modeling, evaluation, deployment, and iteration, contributing directly to LLM and Agentic-based systems used across the enterprise. Your work will include designing and operating large-language-model-based and agent-driven systems, establishing robust evaluation and monitoring practices, and improving performance under real-world constraints. You'll collaborate closely with platform engineers, product partners, and risk stakeholders to ensure solutions are accurate, observable, safe, and reliable in a regulated financial services environment.