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Senior AI Researcher - AI Strategy & Transformation

Charles Schwab

Salary not specified
Sep 26, 2025
San Francisco, CA, USA
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Schwab is looking to solve the problem of transforming the financial industry and putting clients at the center of everything they do by leveraging Artificial Intelligence (AI) to enhance client experience and create business value.

Requirements

  • Advanced expertise in machine learning, natural language processing, and / or generative AI
  • 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
  • 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

  • design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value
  • work closely with architects, engineers, and business leaders to align research efforts with Schwab’s enterprise strategy
  • mentor and coach junior researchers, helping to build strong scientific practices and foster a culture of continuous learning
  • lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application
  • bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab
  • build data pipelines and data analyses that interface with large datasets
  • use 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
  • Ability to solve complex problems with ambiguous or incomplete data
  • Experience working with and mentoring engineers, through presentations, clear feedback and code reviews
  • Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team
  • Demonstrated mindset of continuous learning and improvement