At Schwab, the business problem is to develop new and novel generative AI applications that transform the way Schwab serves its clients, enhancing experiences and driving value across the organization.
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
- Experience working with LLMs and shipping LLM-powered applications to production
- Ability to solve complex problems with ambiguous or incomplete data
Responsibilities
- creating innovative AI solutions
- selecting AI models and prompts
- implementing quantitative evaluations of models and prompts
- experimenting with the latest AI tools
- mentoring the engineering team on the latest in AI
- creating solutions and writing code that can go all the way into production
- applying AI models to deliver business value
Other
- A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience
- Demonstrated mindset of continuous learning and improvement
- Demonstrated business domain knowledge related to all products you have worked on
- Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team
- 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
