JPMorgan Chase • Jersey City, NJ 07308
Job #2685151651
The Applied Innovation of Artificial Intelligence (AI2) team is an elite machine learning group strategically located within the chief technical office (CTO) office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
As a Senior Associate, Machine Learning Lead, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualization, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
Job Responsibilities:
Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Contribute to reusable code and components that are shared internally and also externally
Required qualifications, capabilities and skills
Bachelors with 5+ years industry or research experience in the field, PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with at least three years of industry or research experience in the field.
Experience and solid understanding of machine learning and deep learning methods
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Scientific thinking and the ability to invent
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with big data and scalable model training
Experience with solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Knowledge and Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Familiarity to work both independently and in highly collaborative team environments
Preferred qualifications, capabilities and skills:
Strong background in Mathematics and Statistics
Familiarity with the financial services industries
Experience with A/B experimentation and data/metric-driven product development
Experience with cloud-native deployment in a large scale distributed environment
Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, opensource Hugging Face Models)
Knowledge in Reinforcement Learning or Meta Learning
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
Ability to develop and debug production-quality code
Familiarity with continuous integration models and unit test development
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans
Base Pay/Salary
Jersey City,NJ $128,250.00 - $195,000.00 / year
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