AI Researcher, AI.x at Charles Schwab Inc.
San Francisco, CA
$180,000–$250,000
Jul 13, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior AI research role focused on building and running large-language-model and agentic systems at production scale within a major financial services firm. The work spans the full lifecycle — from problem formulation and modeling through deployment, evaluation, and ongoing iteration — with particular attention to latency, reliability, cost, and regulatory constraints. Suits researchers with a strong track record of shipping GenAI systems in cross-functional, real-world environments.
Senior level · 7+ years · San Francisco-Oakland-Berkeley, CA · Full-time
Posted 2 times — it's one opening, so apply once.
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 290 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 210–370
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 (5)
The title 'AI Researcher' and the Master's-or-higher framing suggest a research-leaning role, but the JD's emphasis on production deployment, latency, reliability, and shipping systems at scale makes this genuinely ambiguous between Data Scientists (15-2051) and Software Developers (15-1252). 15-2051 was chosen as primary because the core work centers on ML/LLM modeling, evaluation, and experimentation rather than general software engineering.
Degree requirement is set to None: the JD states 'Master's degree or higher … or equivalent practical experience,' making the degree substitutable.
No compensation figures are stated; the posting only mentions eligibility for bonus or incentive opportunities in addition to an unspecified salary range.
Agentic AI systems and AI evaluation/monitoring appear under the 'Preferred Qualifications' heading and are marked accordingly.
The role is described as hybrid (in-office in San Francisco), not fully remote.
Read the full posting
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