Join JPMorganChase’s MLCOE to turn cutting-edge AI into production at enterprise scale.
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Designs, develops and maintains production grade software
- Engineers data pipelines to ingest and transform large volumes of data.
- Feeds processed data into machine learning model pipelines.
- Stores resulting data in data warehouses and data lakes.
- Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.
- Deploys complete systems into production environments.
- Resolves production issues within a 5-hour SLA.
- Adds new features and maintains product code to ensure ongoing system performance and reliability.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.
- Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.
- Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).
- Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.
- Data manipulation, structuring, design flow, and query optimization using SQL and Python.
- Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.
- Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.
- Developing and automating high-performance, large-scale data processing systems.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Familiarity with recent large language model technologies
- Familiarity with engineering systems using large language models
- Familiarity with LLM tools such as Langchain or Haystack
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code
- Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance
- Working with data lakes (Amazon S3) and data warehouses (AWS Redshift)
- Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications
- Data manipulation, structuring, design flow, and query optimization using SQL and Python
- Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow
- Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue
- Developing and automating high-performance, large-scale data processing systems
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting team validation expectations
- Strong understanding of responsible AI use in engineering workflows and experience coaching engineers on safe, compliant adoption
- Familiarity with recent large language model technologies
- Familiarity with engineering systems using large language models
- Familiarity with LLM tools such as Langchain or Haystack
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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