Job Description
DESCRIPTION:
Duties: Lead the translation of complex business problems into actionable machine learning tasks and execute training of those tasks using appropriate machine learning algorithms. Lead the design of tests and scientific experiments to specifically measure business performance of the deployed model(s) and/or solutions. Lead the development, testing, and deployment of production quality code implementations for solutions. Resolve production issues. Communicate complex results and analysis to a variety of audiences. Prepare and deliver technical presentations. Keep abreast of deep learning and machine learning practices by attending conferences, reading academic works, and testing open source implementations. Interview and mentor junior AI/ML team members. This position requires up to 10% travel (Domestic and International).
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Data Science, Computer Engineering, Applied Computer Science, or related field of study plus 2 years of experience in the job offered or as Predictive Science, Applied AI ML Associate, Data Scientist Associate, or related occupation.
Skills Required: This position requires two (2) years of experience with the following: writing production quality code in Python and SQL; synthesizing complex business information including financial sales processes, trading, and technology operations, and then distilling this information into actionable solvable tasks; designing relevant scientific tests to validate hypotheses of proposed solutions to business problems; communicating and presenting scientific information to a variety of audiences with a range of artificial intelligence knowledge. This position requires experience in the following: machine learning and deep learning practices and techniques including but not limited to: activations, regularization, loss functions, layer types, masked language modeling techniques, encoders, transformers, and reinforcement learning; cloud systems and architecture design for deployments and maintenance; machine learning as well as deep learning models and architectures.
Job Location: 383 Madison Ave., New York, NY 10179. This position requires up to 10% travel (Domestic and International).
Full-Time. Salary: $195,000 - $260,000 per year.
About Us
JPMorganChase, 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 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. 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Top Skills
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Employees engage in a combination of remote and on-site work.