Chase is seeking a talented conversational AI technologist to join our development efforts and drive excellence in our Conversational AI team within Consumer & Community Bank™s Digital Technology Organization. The Chase Digital Assistance (CDA) product area manages the Digital Assistant, Natural Language Search (NLS) and Elastic Search (ES) teams to create engaging and sophisticated natural language experiences to enable convenient, friction-less, consumer financial services experiences which is currently in the mobile app (Digital Assistant), search functions on chase.com and across platforms and channels.
This role will be key in continuously improving the quality of conversations that our customers have with our conversational AI capability. It will require collaboration with product owners and technology owners both within and outside of the team, designers, data scientists, software developers and testers to develop a unified customer experience to support all varieties of consumer product sets.
This position requires the ability to come up to speed quickly on the business functionality of an array of inter-connected software components in order to deliver an optimized customer conversations and high transaction completion rates. Experience working with Natural Language Platforms and Conversational AI is required this position. The candidate should have the capability to build and optimize multi stage models as well as focus on automating the overall data and model pipelines to deliver excellent customer experiences. The candidate should also be able to quantitatively evaluate vendor products as well as internal capabilities for NLP and ensure that our machine learning models have high performance and throughput. The candidate should generally be well versed in state of the art for NLP to ensure we build best in class systems. Excellent written and oral communication skills, strong interpersonal skills, and outstanding analytical and research skills, as well as a passion for digital and emerging technologies are also qualities that would make for an effective candidate.
Responsibilities
Setup the Conversational Optimization discipline within the Conversational AI team in CCB Digital Technology
Partner with product and analytics organizations in driving the performance of existing 80+ intents
Define and partner with product to create capabilities for automating annotations as well as streamlining data and model pipelines
Own accountability for conversational optimization delivery from start-to-finish, including in-production performance.
Deliver to clear outcomes on transaction completion and customer experience.
Experiment with state of the art NLP models to improve F-1 scores as well as other related metrics
Ensure strong practices in terms of offline an production testing of models and conversational design.
Maintain strong control practices by perform monthly control validation of feature accuracy.
Manage a team of ML engineers and conversational AI scientists and develop optimization as a practice.
Qualifications:
12+ years of research and development experience building applications that rely on machine learning.
Commitment and self-motivation suitable to a start-up team
Demonstrated experience Analyzing Conversational (Chats and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying chatbots.
Directing data engineers and other data scientists to deliver efficient algorithms to meet performance requirements;
Demonstrates thought-leader abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
Understanding or hands on experience with using Python, RASA bot framework
Proven skills in defining enterprise wide Intent/Entity Taxonomy
Experience with agile product development and software delivery lifecycle
Demonstrated ability to manage tight delivery timelines and calmness under pressure
MS (or PhD) in Computer Science, Computational Linguistics or related areas with specialization in Machine Learning and Statistical Analysis.
Keyword: consumer%20banking
Chase is seeking a talented conversational AI technologist to join our development efforts and drive excellence in our Conversational AI team within Consumer & Community Bank™s Digital Technology Organization. The Chase Digital Assistance (CDA) product area manages the Digital Assistant, Natural Language Search (NLS) and Elastic Search (ES) teams to create engaging and sophisticated natural language experiences to enable convenient, friction-less, consumer financial services experiences which is currently in the mobile app (Digital Assistant), search functions on chase.com and across platforms and channels.
This role will be key in continuously improving the quality of conversations that our customers have with our conversational AI capability. It will require collaboration with product owners and technology owners both within and outside of the team, designers, data scientists, software developers and testers to develop a unified customer experience to support all varieties of consumer product sets.
This position requires the ability to come up to speed quickly on the business functionality of an array of inter-connected software components in order to deliver an optimized customer conversations and high transaction completion rates. Experience working with Natural Language Platforms and Conversational AI is required this position. The candidate should have the capability to build and optimize multi stage models as well as focus on automating the overall data and model pipelines to deliver excellent customer experiences. The candidate should also be able to quantitatively evaluate vendor products as well as internal capabilities for NLP and ensure that our machine learning models have high performance and throughput. The candidate should generally be well versed in state of the art for NLP to ensure we build best in class systems. Excellent written and oral communication skills, strong interpersonal skills, and outstanding analytical and research skills, as well as a passion for digital and emerging technologies are also qualities that would make for an effective candidate.
Responsibilities
Setup the Conversational Optimization discipline within the Conversational AI team in CCB Digital Technology
Partner with product and analytics organizations in driving the performance of existing 80+ intents
Define and partner with product to create capabilities for automating annotations as well as streamlining data and model pipelines
Own accountability for conversational optimization delivery from start-to-finish, including in-production performance.
Deliver to clear outcomes on transaction completion and customer experience.
Experiment with state of the art NLP models to improve F-1 scores as well as other related metrics
Ensure strong practices in terms of offline an production testing of models and conversational design.
Maintain strong control practices by perform monthly control validation of feature accuracy.
Manage a team of ML engineers and conversational AI scientists and develop optimization as a practice.
Qualifications:
12+ years of research and development experience building applications that rely on machine learning.
Commitment and self-motivation suitable to a start-up team
Demonstrated experience Analyzing Conversational (Chats and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying chatbots.
Directing data engineers and other data scientists to deliver efficient algorithms to meet performance requirements;
Demonstrates thought-leader abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
Understanding or hands on experience with using Python, RASA bot framework
Proven skills in defining enterprise wide Intent/Entity Taxonomy
Experience with agile product development and software delivery lifecycle
Demonstrated ability to manage tight delivery timelines and calmness under pressure
MS (or PhD) in Computer Science, Computational Linguistics or related areas with specialization in Machine Learning and Statistical Analysis.
Keyword: consumer%20banking
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world™s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants™ and employees™ religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the œWELL Health-Safety Rating for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm™s current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm™s vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You™ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
