Job Description
DESCRIPTION:
Duties: Work on multiple projects solving different NLP problems for clients in the bank. Translate the business problem into an NLP problem and understand the Machine Learning (ML) algorithms appropriate for solving the NLP problem. Talk to clients to understand the problem they want to solve and the available data (mostly text data). Communicate with the client about how the results would be delivered and how the success of the project would be quantitatively measured. Use code in Python to implement the NLP/ML models. Present progress on problem resolutions regularly. Deliver solutions at the end of the project and describe future steps to improve the models if the client is interested in continuing the project. Suggest other areas where the NLP can be used to drive innovation. Work with other Data Science teams to help build solutions. Explain the methodology of good data science practices. Point to certain techniques and packages to solve data science problems. Provide APIs for certain pieces of problems involving more sophisticated techniques. Provide reusable components and frameworks to be used by other data science teams. Responsible for exploring and implementing the state-of-the-art techniques in NLP and ML for the bank. Describe these techniques to the other teams and make it available for everyone. Work with Model Governance to ensure that the ML/NLP models can be put into Production. Mentor interns who join the group.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related quantitative field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, AI Engineering, Machine Learning Engineer, Project Engineer, Data Scientist, or related occupation.
Skills Required: Requires 5 years of experience with the following: coding in Python, C, or C++; using Calculus, Linear Algebra, and Statistics; creating solutions to open-ended Natural Language Processing or other machine learning problems; basic table operations in SQL. Requires 3 years of experience with the following: Deep Learning architectures including DNNs, RNNs, and CNNs; Machine Learning and Natural Language Processing packages including Scikit-Learn, TensorFlow, Keras, NumPy, SciPy, SpaCy, Gensim, and NLTK; Deep Learning: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and transformers.
Job Location: 3223 Hanover St., Palo Alto, CA 94304. Telecommuting permitted up to 40% of the week.
Full-Time. Salary: $191,699 - $260,000 per year.
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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
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.
Location: San Francisco, CA
Posted: Aug. 21, 2024, 11:05 p.m.
Apply Now Company Website