Lead Machine Learning Engineer

About the role

About The Company

J.P. Morgan is a globally renowned financial services firm dedicated to helping individuals, businesses, and institutions achieve their financial goals. With a rich history of innovation and leadership, J.P. Morgan offers a comprehensive range of financial products and services, including investment banking, asset management, private banking, and consumer banking. The company prides itself on fostering a culture of excellence, integrity, and diversity, which drives its commitment to delivering exceptional value to clients worldwide. As a leader in the financial industry, J.P. Morgan continuously invests in technology and talent to maintain its competitive edge and uphold its reputation for service excellence and innovation.

About The Role

We are seeking a highly skilled Lead Machine Learning Engineer to join our Digital Intelligence team within the Consumer & Community Banking division. This role offers an exciting opportunity to work at the forefront of technological innovation in the financial sector. You will collaborate with a talented team of software developers and deep learning experts to design, develop, and maintain scalable machine learning pipelines and frameworks that support our digital channels. Your expertise will be instrumental in deploying models that enhance customer experiences, optimize operational workflows, and improve overall system performance. This position requires a strong technical background, a passion for data science, and the ability to work cross-functionally to deliver robust, secure, and reliable solutions that meet the evolving needs of our business and customers.

Qualifications

The ideal candidate will possess a combination of technical expertise, industry experience, and a proactive mindset. A Bachelor’s degree in Computer Science, Engineering, or a related field is required, with a minimum of 6 years of experience for those holding a Bachelor’s or 4 years with a Master’s degree. Candidates should have extensive proficiency in Python and cloud computing environments, along with hands-on experience using machine learning frameworks such as PyTorch and TensorFlow. A deep understanding of data science fundamentals, including model training and deployment, is essential. Experience with monitoring and observability tools for tracking model input/output and feature statistics is highly valued. Candidates should also have operational experience with big data and machine learning tools like Ray, Spark, and inference systems such as Ray or vllm/SGLang. A solid foundation in engineering principles and enterprise system design is necessary to succeed in this role.

Responsibilities

Design, build, deploy, and maintain robust distributed training pipelines on GPU-enabled clusters to support scalable machine learning workflows.

Develop and manage pipelines for model promotion, versioning, and other capabilities related to model lifecycle management (MDLC).

Optimize training throughput and performance for large-scale data sources to ensure efficiency and cost-effectiveness.

Establish and maintain integrations with platforms and tools for model monitoring, observability, and performance tracking.

Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to integrate new technologies and enhance the capabilities of the ML platform.

Partner with architecture and engineering teams to design and implement robust solutions that support digital channels and customer-facing applications.

Continuously monitor, evaluate, and improve model performance in production environments, reducing agent effort and resolution times.

Benefits

J.P. Morgan offers a comprehensive total rewards package designed to support our employees’ professional and personal growth. Compensation includes a competitive base salary, with opportunities for performance-based bonuses and discretionary incentives, which may include cash and equity awards. Our benefits package encompasses extensive health care coverage, including medical, dental, and vision plans, along with wellness programs and on-site health centers. Employees have access to a retirement savings plan, tuition reimbursement, backup childcare services, mental health support, and financial coaching. We also promote a flexible work environment and provide resources for work-life balance, fostering a supportive and inclusive workplace culture. Additional details regarding compensation and benefits are provided during the hiring process.

Equal Opportunity (in last)

J.P. Morgan is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy, disability, or any other protected characteristic under applicable law. We believe diversity enhances our innovation and success, and we actively promote equitable practices in recruitment, development, and retention. Reasonable accommodations are available for qualified applicants and employees to support their religious practices, disabilities, or other needs. We value the unique perspectives each individual brings and are dedicated to creating a workplace where everyone can thrive.