Software Engineer III - Machine Learning Platform
Aumni
Advance your career by building and optimizing cutting-edge machine learning platforms that empower data-driven innovation across JPMorgan Chase.
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking Technology team, you will play a pivotal role in designing, developing, and maintaining robust infrastructure and tools that enable data scientists and ML engineers to efficiently develop, deploy, and monitor models. Leveraging your technical expertise and collaborative mindset, you will deliver secure, scalable, and reliable solutions that drive the firm’s business objectives and enhance ML platform capabilities. Your contributions will span the full software development lifecycle, from architecture and implementation to automation and continuous improvement. In this impactful role, you will help shape the future of machine learning at JPMorgan Chase.
Job Responsibilities
- Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.
- Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.
- Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.
- Implement secure, high-quality production code for platform services, APIs, and automation pipelines.
- Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.
- Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.
- Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
- Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
- Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.
Required Qualifications, Capabilities, and Skills
- 3+ years of applied experience or formal training/certification in software engineering concepts.
- Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure.
- Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL).
- Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure.
- Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring.
- Experience developing APIs and platform services for ML workflows.
- Solid knowledge of the software development life cycle and agile methodologies.
- Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with Databricks for scalable data engineering and ML platform integration.
- Experience working 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 Chase’s review of criminal conviction history, including pretrial diversions or program entries.
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
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team