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Graph Neural Network Jobs in Philadelphia, PA (NOW HIRING)

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$15

$26

$39

How much do graph neural network jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for graph neural network in Philadelphia, PA is $26.89, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the graph neural network position, and why are they important?

To excel as a Graph Neural Network Engineer, you need a strong background in machine learning, graph theory, neural networks, and proficiency in programming languages such as Python. Familiarity with deep learning frameworks like PyTorch or TensorFlow, and experience with specialized libraries such as DGL or PyTorch Geometric are highly valued. Excellent problem-solving skills, teamwork, and the ability to communicate complex concepts to both technical and non-technical stakeholders will help you stand out. These combined abilities enable professionals to design, implement, and deploy cutting-edge GNN models that address complex, real-world data-structure challenges across various industries.

What does a typical project workflow look like for a graph neural network engineer?

A typical project workflow for a Graph Neural Network Engineer involves collaborating with data scientists and domain experts to understand the problem, preprocessing and visualizing graph-structured data, and selecting appropriate model architectures. The role often includes building, training, and evaluating GNN models, iterating on hyperparameters, and deploying models to production environments. Throughout the process, you will engage in code reviews, document findings, and present results to stakeholders. Teamwork and effective communication are essential, as projects frequently require close collaboration with researchers, software engineers, and business units to ensure solutions meet practical needs and performance goals.

What is a graph neural network?

A Graph Neural Network (GNN) job typically involves designing, implementing, and optimizing neural network models that operate on graph-structured data. Professionals in this role apply GNNs to tasks like recommendation systems, fraud detection, social network analysis, and molecular property prediction. Responsibilities often include data preprocessing, model architecture selection, training, evaluation, and deployment. Strong knowledge of machine learning, deep learning frameworks (such as PyTorch or TensorFlow), and graph theory is essential.

What are popular job titles related to Graph Neural Network jobs in Philadelphia, PA? For Graph Neural Network jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Graph Neural Network jobs in Philadelphia, PA look for? The top searched job categories for Graph Neural Network jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Graph Neural Network jobs? Cities near Philadelphia, PA with the most Graph Neural Network job openings:
Graph Neural Network jobs near you
Infographic showing various Graph Neural Network job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $55,923 per year, or $26.9 per hour.

Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 7 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

Duties: Execute software solutions, design, development, and technical troubleshooting to build solutions or breakdown technical problems. Drive cross functional system architecture, information architecture and solution architecture. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Develop software aligned with control procedures for security and resiliency aligned with business workloads. Produce architecture and design artifacts for complex applications and ensure design constraints are met by software code development. Participate in infrastructure governance process, infrastructure architecture approval for infrastructure budgeting, and getting sign off on proposed solutions in the Architecture Review Boards in the organization tower. Gather, analyze, synthesize, and develop visualizations and reporting from data sets in service of continuous improvement of software applications and systems. Understand the code delivered by the designated Machine Learning modelers and translate it into code that can be plugged into applications that serve the score to the business workload.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science or related field of study plus 3 years of experience in the job offered or as Software Engineer, Software Developer, Systems Developer, Computer Systems Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Science or related field of study plus 5 years of experience in the job offered or as Software Engineer, Software Developer, Systems Developer, Computer Systems Analyst, or related occupation.

Skills Required: This position requires experience with the following: Delivering system design, application development, testing, and operational stability; Developing applications using libraries including Spring and Springboot framework, and programming languages including Java and python; Developing Micro services as RESTful API and deploying them on Kubernetes based runtime platforms and AWS using technologies including Elastic Kubernetes Service or Elastic Container Service, and AWS Lambda or AWS SNS-SQS based messaging solutions; Developing applications which use application ecosystem with components including API Gateways, Apache Kafka, AWS SNS and SQS, AWS EKS, AWS ECS, AWS EMR, Cassandra, Graph databases including TigerGraph, and AWS S3 storage; Production monitoring, alerting support, and debugging issues using observability tools such as Splunk, Kibana, AppDynamics or Dynatrace; Analyzing data using AL/ML aligned tools such as Jupiter notebooks, AWS Sagemaker, or AWS Athena; Performing exploratory data analysis within enterprise databases to extract, clean, transform, and load data to analyze production issues; Developing and automating data processing systems to drive and improve product experience; Building scalable Spark data pipelines leveraging scheduler and executor frameworks; Processing data sets using data containers, multithreading, and multiprocessing in PySpark and Tensorflow for neural network models used in the applications.  

Job Location: 880 Powder Mill Rd, Wilmington, DE, 19803.

Full-Time.
 

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

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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