Overview
On Site
Full Time
Skills
Creative Problem Solving
Product Engineering
Algorithms
Customer Experience
Collaboration
Business Strategy
Knowledge Sharing
Research
Mathematics
Physics
Research and Development
Data Analysis
Artificial Intelligence
Machine Learning (ML)
Natural Language Processing
Generative Artificial Intelligence (AI)
Data Science
SQL
Pandas
Data Visualization
Python
Computer Science
Writing
Shipping
Mentorship
Presentations
Communication
FOCUS
Finance
SAP BASIS
Insurance
Job Details
Position Type: Regular
Your opportunity
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients.
As a (Mid-Level) AI Researcher on AI.x, you will play an important role in advancing Schwab's priorities by contributing to innovative AI research and developing impactful solutions. This position offers the opportunity to help shape Schwab's future with AI, to work on research that serves millions of clients, and to grow your career in one of the most dynamic areas of technology today.
As a (Mid-Level) AI Researcher, you will design, investigate, and develop advanced AI models and algorithms that enhance client experience and deliver business value. You will collaborate closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will participate in mentoring and knowledge-sharing with junior team members, helping to build strong scientific practices and foster a culture of continuous learning. You will contribute to solving complex technical challenges, supporting research standards, and driving experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help propel the next generation of AI at Schwab.
What you have
Required Qualifications:
Preferred Skills:
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
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 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 that takes care of the whole you - both today and in the future:
Your opportunity
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients.
As a (Mid-Level) AI Researcher on AI.x, you will play an important role in advancing Schwab's priorities by contributing to innovative AI research and developing impactful solutions. This position offers the opportunity to help shape Schwab's future with AI, to work on research that serves millions of clients, and to grow your career in one of the most dynamic areas of technology today.
As a (Mid-Level) AI Researcher, you will design, investigate, and develop advanced AI models and algorithms that enhance client experience and deliver business value. You will collaborate closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will participate in mentoring and knowledge-sharing with junior team members, helping to build strong scientific practices and foster a culture of continuous learning. You will contribute to solving complex technical challenges, supporting research standards, and driving experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help propel the next generation of AI at Schwab.
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
Preferred Skills:
- 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.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
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 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 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.