Senior Lead Software Engineer - Machine Learning

Overview

On Site
Full Time

Skills

Agile
Problem Solving
Conflict Resolution
Art
User Experience
Real-time
Development Testing
Product Design
IT Operations
FOCUS
Software Development
Software Engineering
Systems Design
Application Development
Testing
Python
Training
Statistics
Machine Learning (ML)
Logistic Regression
Neural Network
Docker
Kubernetes
Orchestration
Amazon EC2
Amazon SageMaker
Computer Science
Computer Engineering
Mathematics
Microservices
Machine Learning Operations (ML Ops)
Cloud Computing
Amazon Web Services
Database
Health Care
Backup
Finance
Coaching
Recruiting
SAP BASIS
Law
Financial Services
Banking
Financing
Payment Processing
Credit Cards
Sales
Customer Satisfaction

Job Details

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking's Personalization and Insights group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art, machine learning models hosted on AWS. These applications power personalized experiences across Chase Consumer and Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces.

In this role, you'll define, build and evolve the infrastructure required to run batch and real time models, and to maintain pipelines for model training, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) : Python
  • Experience and passion in model training, build, deployment and execution ecosystem such as Sagemaker and MLOps libraries such as Ray is needed
  • Experience in monitoring and observability tools to monitor model input/output and features stats
  • Experience and interest in ML model architectures. For example in linear/logistic regression, Gradient Boosted Trees, Neural Network architectures
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc]
  • Experience with cloud technologies like EC2, Sagemaker, IAM
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills
  • Experience building high-throughput, low-latency micro service development leveraging AWS services such EKS, ECS, Fargate, etc.
  • Advanced skills in MLOps.
  • Hands-on experience with public cloud systems - AWS preferred
  • Experience with recommendation and personalization systems
  • Developing software in a well-managed SW dev environment such as Banking
  • Good knowledge of database

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
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