Machine Learning Scientist - Speech AI and NLP - Vice President
New York, NY, United States
JPMorgan Chase & Co.
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing 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.
As a Machine Learning Scientist - Quant AI - Vice President within the Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with all of JPMorgan's lines of business and functions to deliver software solutions with high technology and business impact. You will also research, develop, and productionize high-performance machine learning models, quantitative models, and applications. This role requires a strong passion for machine learning, solid expertise in Deep Learning, and a deep desire to learn and grow.
Job 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 result.
Required qualifications, capabilities, and skills
- 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 in the field.
- 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, 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.
Preferred qualifications, capabilities, and skills
- 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
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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Banking Computer Science Data Mining Deep Learning Docker Engineering ETL GCP Generative AI Google Cloud Java JAX Keras Kubernetes LLMs Machine Learning Mathematics ML models MXNet NLP PhD Pipelines Python PyTorch Research Scikit-learn Security Statistics TensorFlow
Perks/benefits: Career development Competitive pay Health care Wellness
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