AI Model Validation Specialist (Hybrid)

Charles Schwab; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid vacation

Sabbatical after 5 years

Parental leave and family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab, part of Model Risk Oversight, invites early-career engineers and quantitative researchers to validate AI/ML models, with a focus on generative AI and LLM-based applications. You will design tests, analyze model behavior, and present evidence-based conclusions to technical teams and senior leaders.

The role offers a hybrid schedule (4 days in office, 1 day remote), with opportunities to build reusable validation frameworks and collaborate across risk partners and engineers.

Qualifications

• Master’s or Bachelor’s with strong relevant project or research experience.
• 0–2 years of professional experience; internships or research count.
• Proficiency in Python and data science libraries.
• Working knowledge of ML concepts, experimental design, and evaluation.
• Ability to read technical documentation and communicate conclusions clearly.
• Curiosity, judgement, attention to detail, and evidence-based thinking.

Responsibilities

• Validate AI/ML models across use cases, data, design, and controls.
• Build reproducible testing frameworks and analyses for quality and safety.
• Evaluate generative AI and retrieval-generated prompts and grounding.
• Apply statistical/ML methods to benchmark models and analyze errors.
• Review code, notebooks, and production monitoring evidence.
• Collaborate with developers, product, data scientists, and risk partners.
• Document findings in validation reports and executive summaries.
• Participate in ongoing performance monitoring and reviews.
• Contribute to reusable validation frameworks and testing tools.

Skills

Python

Statistical reasoning

Experiment design

Data analysis

Technical communication

Education

Bachelor's degree

Master's degree

Tools

SQL

Git

Containers

Cloud platforms

Job description

Charles Schwab, part of Model Risk Oversight, invites early-career engineers and quantitative researchers to validate AI/ML models, with a focus on generative AI and LLM-based applications. You will design tests, analyze model behavior, and present evidence-based conclusions to technical teams and senior leaders.

The role offers a hybrid schedule (4 days in office, 1 day remote), with opportunities to build reusable validation frameworks and collaborate across risk partners and engineers.