Machine Learning Scientist - Speech AI and NLP - Vice President

JPMorgan Chase - New York, NY

Full-time - Senior

New York, NY

Credit Intermediation and Related Activities

About the position

The Machine Learning Scientist - Speech AI and NLP - Vice President role at JPMorgan Chase involves applying advanced machine learning techniques to complex tasks within the Chief Data & Analytics Office (CDAO). This position focuses on developing and implementing solutions that leverage data to enhance decision-making, improve productivity, and support the firm's commercial goals. The role requires collaboration across various business lines to deliver impactful software solutions and productionize high-performance machine learning models.

Responsibilities

• Research, develop and productionize high performance machine learning models, quantitative models, and applications.
• Collaborate with all of JPMorgan's lines of business and functions to deliver software solutions, making high technology and business impact.
• Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business results.

Requirements

• PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with three years of industry experience, or an MS with at least five years of industry or research experience.
• Solid programming skills with C/C++, Java, Python, or other equivalent languages.
• 2 years of experience with software development in C or more programming languages.
• 2 years of experience with data structures and algorithms.
• Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, and Statistics.
• Experienced in one or more major machine learning frameworks: Tensorflow, Pytorch, JAX, Keras, MXNet, Scikit-Learn.
• Experience in ETL pipelines, both batch and real-time data processing.
• Strong analytical and critical thinking skills.
• Self-motivation, great communication skills, and team player.

Nice-to-haves

• Experience in computational graphs and just in time (JIT) compilation.
• Experience in Generative AI, LLMs, and AI Agents is a plus.
• Knowledge in hardware accelerators / GPUs, manycore architecture, and profiling tools.
• Knowledge in Deep Learning frameworks backend.
• Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
• Experience in distributed system design and development.
• Previous experience with derivatives modelling or portfolio management is preferred.