JPMorganChase
Machine Learning Scientist - NLP - Sr. Associate - Machine Learning Center of Ex
JPMorganChase, Palo Alto, California, United States, 94306
Overview
Machine Learning Scientist - NLP - Senior Associate
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey, ensuring data quality, integrity, and security, and leveraging data to generate insights and drive decision-making. The CDAO develops and implements solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. This role offers the opportunity to explore novel and complex challenges that could transform how the bank operates.
Responsibilities
Research and explore new machine learning methods through independent study, industry participation, experimentation, and knowledge-sharing communities.
Develop state-of-the-art ML models to solve real-world problems in tasks such as natural language processing (NLP), speech analytics, time-series predictions, reinforcement learning, and recommendation systems.
Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams to deploy solutions into production.
Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of ML models across different business areas.
Required Qualifications, Capabilities, And Skills
PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science) or an MS with at least 3 years of industry or research experience in the field.
Solid background in NLP or speech recognition and analytics; experience with personalization/recommendation and ML/DL methods.
Extensive experience with ML/DL toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
Ability to design experiments and training frameworks; ability to evaluate intrinsic and extrinsic metrics aligned with business goals.
Experience with big data and scalable model training; strong written and spoken communication to convey technical concepts to technical and business audiences.
Scientific thinking with the ability to work independently and in collaborative teams.
Curious, hardworking, detail-oriented, and motivated by complex analytical problems.
Preferred Qualifications, Capabilities, And Skills
Strong background in Mathematics and Statistics; familiarity with financial services and CI/CD processes, unit test development.
Knowledge in search/ranking, Reinforcement Learning, or Meta Learning.
Experience with A/B experimentation, data-driven product development, cloud-native deployment at large scale, and production-quality code development.
Published research in ML/DL/RL at a major conference or journal.
About Us JPMorgan Chase is an Equal Opportunity Employer. We are committed to diversity and inclusion and do not discriminate on any protected attribute. We also provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Details about total compensation and benefits will be provided during the hiring process.
#J-18808-Ljbffr
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey, ensuring data quality, integrity, and security, and leveraging data to generate insights and drive decision-making. The CDAO develops and implements solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. This role offers the opportunity to explore novel and complex challenges that could transform how the bank operates.
Responsibilities
Research and explore new machine learning methods through independent study, industry participation, experimentation, and knowledge-sharing communities.
Develop state-of-the-art ML models to solve real-world problems in tasks such as natural language processing (NLP), speech analytics, time-series predictions, reinforcement learning, and recommendation systems.
Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams to deploy solutions into production.
Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of ML models across different business areas.
Required Qualifications, Capabilities, And Skills
PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science) or an MS with at least 3 years of industry or research experience in the field.
Solid background in NLP or speech recognition and analytics; experience with personalization/recommendation and ML/DL methods.
Extensive experience with ML/DL toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
Ability to design experiments and training frameworks; ability to evaluate intrinsic and extrinsic metrics aligned with business goals.
Experience with big data and scalable model training; strong written and spoken communication to convey technical concepts to technical and business audiences.
Scientific thinking with the ability to work independently and in collaborative teams.
Curious, hardworking, detail-oriented, and motivated by complex analytical problems.
Preferred Qualifications, Capabilities, And Skills
Strong background in Mathematics and Statistics; familiarity with financial services and CI/CD processes, unit test development.
Knowledge in search/ranking, Reinforcement Learning, or Meta Learning.
Experience with A/B experimentation, data-driven product development, cloud-native deployment at large scale, and production-quality code development.
Published research in ML/DL/RL at a major conference or journal.
About Us JPMorgan Chase is an Equal Opportunity Employer. We are committed to diversity and inclusion and do not discriminate on any protected attribute. We also provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Details about total compensation and benefits will be provided during the hiring process.
#J-18808-Ljbffr