Applied AI Scientist: Charles Schwab

Charles Schwab is hiring an Applied AI Scientist to join its Artificial Intelligence Incubation & Enablement (AIE) team. This hands-on role is for the GenAI Lab, which focuses on creating innovative AI solutions, selecting and evaluating AI models, and experimenting with the latest tools. The ideal candidate will have a bias toward action, a strong background in traditional data science, and an up-to-date understanding of the latest AI tools. You'll be expected to not only experiment with new technologies but also apply them to tangible business goals in a regulated environment.

Key Responsibilities
Develop and Implement: Create innovative AI solutions and write production-ready code.

Experimentation: Experiment with AI models, tools, and multi-agent systems to solve business challenges.

Evaluation: Select and quantitatively evaluate AI models and prompts for performance and effectiveness.

Mentorship: Mentor engineers on the latest AI advancements.

Collaboration: Work directly with the engineering team to build solutions.

Risk Mitigation: Ensure solutions are built to reduce risk and uphold client trust in a regulated financial services environment.

Required Qualifications
Education: A master's degree or other advanced degree in Computer Science, Mathematics, Physics, or a related field, or equivalent industry experience.

Experience:

5+ years of experience in AI/ML research and development using Python.

5+ years of experience building data pipelines and performing data analyses with large datasets.

3+ years of experience using AI models to deliver business value.

Skills: Advanced expertise in machine learning, natural language processing, and/or generative AI.

Preferred Skills
Strong data science fundamentals, including using SQL, Python data frames (e.g., pandas), and data visualization.

Strong computer science fundamentals, including writing unit tests.

Experience working with LLMs and shipping LLM-powered applications to production.

The ability to solve complex problems with ambiguous or incomplete data.

Experience mentoring engineers.

A demonstrated mindset of continuous learning, curiosity about new technologies, and strong communication skills.