Manager of Software Engineering Machine Learning Platform

JPMorganChase

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profile Job Location:

Palo Alto, CA - USA

profile Monthly Salary: $ 152000 - 215000
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Description

Elevate your career by leading high-impact engineering teams and shaping the future of machine learning platforms at JPMorgan Chase driving innovative solutions that empower data scientists and ML engineers across the organization.

As a Manager of Software Engineering at JPMorgan Chase in the Consumer and Community Banking Technology team you will set strategic direction oversee project delivery and ensure alignment with business objectives for multiple engineering teams. Leveraging your leadership and technical expertise you will guide the development of robust ML infrastructure and tools foster a culture of technical excellence and drive continuous improvement in platform capabilities. Your role will require exceptional collaboration and stakeholder management skills as you empower teams champion best practices and represent the ML platform engineering function in cross-functional forums.

Job Responsibilities

  • Lead and manage engineering teams in the design development and maintenance of scalable machine learning platforms and infrastructure.
  • Set strategic direction for ML platform initiatives ensuring alignment with business goals and enterprise standards.
  • Oversee the delivery of tools for model training deployment monitoring and lifecycle management.
  • Guide the integration of data engineering feature management and model serving capabilities into unified ML platform solutions.
  • Ensure the implementation of secure high-quality production code for platform services APIs and automation pipelines.
  • Collaborate with data scientists ML engineers product teams and business stakeholders to define requirements and deliver impactful platform features.
  • Drive platform reliability scalability and performance through proactive monitoring troubleshooting and continuous improvement.
  • Oversee architecture and design documentation for platform components.
  • Champion automation of infrastructure provisioning configuration and CI/CD pipelines for ML platform services.
  • Foster a culture of technical excellence innovation and continuous learning within the engineering team.
  • Represent the ML platform engineering function in cross-functional forums and contribute to the community of practice.

Required Qualifications Capabilities and Skills

  • 5 years of applied experience or formal training/certification in software engineering concepts including coaching and mentoring.
  • Proven experience building deploying and maintaining machine learning platforms or infrastructure.
  • Proficiency in Python and familiarity with ML frameworks (e.g. TensorFlow PyTorch Scikit-learn).
  • Experience with data processing frameworks and tools (e.g. Spark Pandas SQL).
  • Strong understanding of cloud-based ML platforms (e.g. AWS SageMaker GCP AI Platform Azure ML) or on-prem ML infrastructure.
  • Knowledge of MLOps practices including CI/CD for ML model versioning and monitoring.
  • Experience developing APIs and platform services for ML workflows.
  • Solid understanding of the software development life cycle agile methodologies and engineering best practices.
  • Demonstrated ability to lead and mentor engineering teams and collaborate with cross-functional stakeholders.

Preferred Qualifications Capabilities and Skills

  • Experience with Databricks for scalable data engineering and ML platform integration.
  • Experience with Snowflake for cloud-based data warehousing and analytics.
  • Exposure to Snorkel AI for programmatic data labeling and training data management.
  • Experience with containerization and orchestration tools (e.g. Docker Kubernetes Airflow).
  • Familiarity with feature stores model registries and ML metadata management.
  • Experience with infrastructure-as-code tools (e.g. Terraform CloudFormation).
  • Experience with RESTful APIs and microservices architectures.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorgan Chases review of criminal conviction history including pretrial diversions or program entries.




Required Experience:

Manager

DescriptionElevate your career by leading high-impact engineering teams and shaping the future of machine learning platforms at JPMorgan Chase driving innovative solutions that empower data scientists and ML engineers across the organization.As a Manager of Software Engineering at JPMorgan Chase in ...
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Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems

About Company

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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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