Senior Responsible AI Researcher, AI.x at Charles Schwab Inc.
San Francisco, CA
$220,000–$280,000
Jul 23, 2026
San Francisco, CA
Jul 26, 2026
What this job asks for AI summary
A Responsible AI Researcher role focused on translating regulatory requirements and ethical principles into concrete technical safeguards — including bias detection methods, evaluation frameworks, and monitoring systems — for AI products deployed at scale. The work spans collaboration with research, engineering, legal, compliance, and risk teams, and directly informs executive decisions and regulatory engagement. Best suited to someone with deep experience in AI fairness, alignment, interpretability, or adversarial robustness.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 270 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 100–350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is highly domain-specific (Responsible AI / AI Ethics) rather than a conventional data science or ML engineering role. 15-2051 Data Scientists is the closest SOC match given the research, modeling, and analytical orientation; 15-1299 (Computer Occupations, All Other) is a reasonable runner-up given the AI safety/governance focus that doesn't map cleanly to any single standard occupation.
The required qualifications list no specific named technologies — they describe domain expertise (fairness, alignment, adversarial robustness, interpretability, responsible GenAI) and soft skills. No concrete tools appear in the Required section, so no must-have skills are emitted.
All concrete named technologies (Python, LLMs, SQL, pandas, adversarial testing, red-teaming) appear exclusively under Preferred Qualifications and are marked accordingly.
The degree requirement is listed as 'Master's degree (or equivalent)' with 'or equivalent experience' explicitly offered, so no formal degree is hard-gated.
The 6+ years figure is the required experience floor; the 7+ years for Python appears only in the Preferred section and is captured on that skill.
No compensation figures are stated; the posting only notes eligibility for bonus/incentive in addition to salary.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.