Schwab's Artificial Intelligence (AI) Incubation & Enablement (AIE) team is looking for an Applied AI Scientist to develop new and novel generative AI applications that transform how Schwab serves its clients, enhancing experiences and driving value across the organization.
Requirements
- 5+ years of experience in AI / ML research and development using Python
- 5+ 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 communicationskills - you balance written and verbal communication to clearly share your perspective with others on the team.
