Join to apply for the Applied AI Scientist role at Charles Schwab
Join to apply for the Applied AI Scientist role at Charles Schwab
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Your opportunity
At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
The AI Strategy and Transformation (AI.x) team at Schwab is where cutting-edge ideas come to life. Our mission 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. We don’t just solve today’s challenges, we anticipate tomorrow’s opportunities, pioneering solutions that position Schwab as a leader in financial services innovation.
We are looking for a technical, hands-on Applied AI Scientist to join the GenAI Lab in the AIE team. This team is responsible for creating innovative AI solutions, selecting AI models and prompts, implementing quantitative evaluations of models and prompts, and experimenting with the latest AI tools. We have a short-to-medium term time horizon, so in this role you will not only be experimenting with models, tools and multi-agent systems, but also applying them to tangible business goals. You have a bias to action and can context switch between different research projects.
You will work directly with the engineering team: not only mentoring them on the latest in AI but also creating solutions and writing code that can go all the way into production. You are confident in your traditional data science and coding skills and have also leveled up by applying the latest AI tools. You want to build fast but also know how to reduce risk and work in a regulated environment, upholding the trust that our clients give us.
What you have
Required Qualifications
- A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience
- 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
- 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.
- Demonstrated mindset of continuous learning and improvement.
- Demonstrated business domain knowledge related to all products you have worked on.
What’s in it for you
At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
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