Join our team as an instrumental applied ML engineer in building products that automate processes, helping experts to prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products and services and increasing opportunities for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets.

As a Gen AI Lead Engineer in the Applied AI/ML team at JPMorgan Corporate Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from the fields of natural language processing, computer vision, and statistical machine learning.

Job responsibilities

• Build robust data science capabilities which can be scaled across multiple business use cases.
• Collaborate with the software engineering team to design and deploy machine learning services that can be integrated with strategic systems.
• Research and analyze data sets using a variety of statistical and machine learning techniques.
• Communicate AI capabilities and results to both technical and non-technical audiences.
• Document approaches taken, techniques used, and processes followed to comply with industry regulations.
• Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.

Required qualifications, capabilities, and skills

• Extensive hands-on experience in an ML engineering role.
• Extensive experience developing AI-based applications.
• PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics.
• Track record of developing and deploying business-critical machine learning models.
• Broad knowledge of MLOps tooling—for versioning, reproducibility, observability, etc.
• Experience monitoring, maintaining, and enhancing existing models over an extended time period.
• Specialism in NLP or computer vision.
• Solid understanding of the fundamentals of statistics, optimization, and ML theory.
• Extensive experience with PyTorch, NumPy, and pandas.
• Familiarity with popular deep learning architectures (e.g., transformers, CNNs, autoencoders).
• Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.

Preferred qualifications, capabilities, and skills

• Experience designing/implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Hands-on experience in implementing distributed/multi-threaded/scalable applications (including frameworks such as Ray, Horovod, DeepSpeed, etc.).
• Knowledge of open-source datasets and benchmarks in NLP/computer vision.
• Experience constructing batch and streaming microservices exposed as REST/gRPC endpoints.
• Familiarity with GraphQL.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   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.