Applied AI ML Lead - Sales Science

About the role

As an Applied AI ML Lead on the Sales Science team, you will contribute to innovative projects and drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver interactive coaching tools for the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionize them.

Responsibilities

• Serve as a subject matter expert on a wide range of ML techniques and optimizations.
• Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conduct experiments using the latest ML technologies, analyzing results, and tuning models.
• Actively engage in hands-on coding to convert experimental results into robust production solutions.
• Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
• Integrate Generative AI within the ML Platform using state-of-the-art techniques.

Requirements

• Bachelor's degree with 7 years of applied machine learning experience.
• 5+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
• Experience in applying data science and ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
• Experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow-through. Excellent communication skills and a team player.

Preferred Qualifications

• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience preferred.
• Advanced knowledge in Reinforcement Learning or Meta Learning.
• Software development experience is a plus.
• Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Pay

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science, and machine learning. We have a strong partnership with Technology, which provides cutting-edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.