Responsible AI Researcher, AI.x jobs in United States
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Charles Schwab · 1 month ago

Responsible AI Researcher, AI.x

Charles Schwab is committed to transforming the financial industry and putting clients at the center of everything we do. As a Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, ensuring that Schwab's AI systems are safe, fair, and transparent. This role involves collaborating with cross-functional teams to develop innovative methods for bias detection and influence executive decision-making regarding trusted AI solutions.

Financial Services
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H1B Sponsor Likelynote

Responsibilities

Design and implement innovative methods for bias detection and develop technical guardrails aligned with responsible AI principles
Collaborate with cross-functional teams—research, product, legal, compliance, and risk—to ensure Schwab’s AI systems are safe, fair, and transparent
Build and maintain monitoring systems for AI models, integrating human-in-the-loop and automated metrics for compliance at scale
Influence executive decision-making and regulatory engagement while driving trusted AI solutions for millions of clients

Qualification

AI ethicsAI researchPythonFairnessInterpretabilityGenerative AIRisk assessmentData science fundamentalsAnalytical skillsCommunication skillsCollaboration

Required

Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field—or equivalent experience
6+ years in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts)
Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability
Experience with responsible generative AI challenges and risk mitigations
Strong analytical and communication skills for technical and non-technical audiences

Preferred

7+ years in AI/ML research and development using Python
Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards
Published research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS)
Experience with LLMs and deploying LLM-powered applications
Skills in adversarial testing, red-teaming, and risk assessment for AI deployments
Strong data science fundamentals (SQL, pandas, visualization) and robust pipeline development
Financial domain knowledge is a plus

Benefits

Bonus or incentive opportunities

Company

Charles Schwab

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H1B Sponsorship

Charles Schwab has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (579)
2024 (468)
2023 (455)
2022 (705)
2021 (483)
2020 (282)

Funding

Current Stage
Late Stage

Leadership Team

J
Jim McGreevy
Senior Project Manager
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