At Schwab, the AI Incubation & Enablement (AIE) team is focused on developing new and novel generative AI applications to transform client service, enhance experiences, and drive value across the organization, positioning Schwab as a leader in financial services innovation.
Requirements
- 7+ years of experience in AI / ML research and development using Python
- 7+ years of experience building data pipelines and data analyses that interface with large datasets
- 3 + years of experience using AI models to deliver business value
- Advanced expertise in machine learning, natural language processing, and / or generative AI
- Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python
- Strong computer science fundamentals, including experience writing unit tests
- Experience working with LLMs and shipping LLM-powered applications to production
Responsibilities
- develop new and novel generative AI applications
- selecting AI models and prompts
- implementing quantitative evaluations of models and prompts
- experimenting with the latest AI tools
- applying them to tangible business goals
- mentoring them on the latest in AI
- creating solutions and writing code that can go all the way into production
Other
- A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience
- Ability to solve complex problems with ambiguous or incomplete data
- Experience working with and mentoring engineers, through presentations, clear feedback and code reviews
- Curiosity about new technologies and processes – you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team
- Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team
