The Graph Neural Network (GNN) Influenza Modeling Intern will support the development and evaluation of machine learning models to improve seasonal influenza forecasting. The intern will analyze ...
The Graph Neural Network (GNN) Influenza Modeling Intern will support the development and evaluation of machine learning models to improve seasonal influenza forecasting. The intern will analyze ...
AI Research Scientist
Cambridge, MA · On-site
$150 - $230/hr
Experience in ML-for-chemistry or ML-for-biology (e.g., neural network potentials, graph neural networks, protein or reaction models) Logistics Compensation is highly competitive. We're also able to ...
AI Research Scientist
Cambridge, MA · On-site
$150 - $230/hr
Experience in ML-for-chemistry or ML-for-biology (e.g., neural network potentials, graph neural networks, protein or reaction models) Logistics Compensation is highly competitive. We're also able to ...
Research Engineer, Accelerated Quantum Chemistry
Cambridge, MA · On-site
$140 - $200/hr
Neural network potentials and modern AI models for molecular simulation (e.g., graph neural networks, transformer models) * HPC environments and workflow management systems * Containerization (Docker ...
Research Engineer, Accelerated Quantum Chemistry
Cambridge, MA · On-site
$140 - $200/hr
Neural network potentials and modern AI models for molecular simulation (e.g., graph neural networks, transformer models) * HPC environments and workflow management systems * Containerization (Docker ...
Neural network potentials and modern AI models for molecular simulation (e.g., graph neural networks, transformer models) * HPC environments and workflow management systems * Containerization (Docker ...
Neural network potentials and modern AI models for molecular simulation (e.g., graph neural networks, transformer models) * HPC environments and workflow management systems * Containerization (Docker ...
AI Research Scientist
Cambridge, MA · On-site
Experience in ML-for-chemistry or ML-for-biology (e.g., neural network potentials, graph neural networks, protein or reaction models) Logistics Compensation is highly competitive. We're also able to ...
New
AI Research Scientist
Cambridge, MA · On-site
Experience in ML-for-chemistry or ML-for-biology (e.g., neural network potentials, graph neural networks, protein or reaction models) Logistics Compensation is highly competitive. We're also able to ...
New
Lead Algorithm & Signal Processing Engineer
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer with Security Clearance
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer with Security Clearance
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Quick apply
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Quick apply
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Quick apply
Principal Signal Processing Engineer
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206 - $284/hr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
Woburn, MA · On-site
$206 - $284/hr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Principal Signal Processing Engineer
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Quick apply
Principal Signal Processing Engineer
$206K - $284K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer with Security Clearance
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Lead Algorithm & Signal Processing Engineer with Security Clearance
Woburn, MA · On-site
$157K - $220K/yr
Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Applied AI Scientist
Maynard, MA · On-site
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Applied AI Scientist
Maynard, MA · On-site
Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...
Graph Neural Network information
See Waltham, MA salary details
$16.08 - $18.44
2% of jobs
$18.44 - $20.79
8% of jobs
$20.79 - $23.15
9% of jobs
$24.22 is the 25th percentile. Wages below this are outliers.
$23.15 - $25.51
11% of jobs
The median wage is $27.35 / hr.
$25.51 - $27.87
24% of jobs
$27.87 - $30.22
19% of jobs
$30.52 is the 75th percentile. Wages above this are outliers.
$30.22 - $32.58
8% of jobs
$32.58 - $34.94
6% of jobs
$34.94 - $37.30
4% of jobs
$37.30 - $39.66
4% of jobs
$39.66 - $42.01
3% of jobs
$16
$28
$42
How much do graph neural network jobs pay per hour?
As of Aug 24, 2026, the average hourly pay for graph neural network in Waltham, MA is $28.74, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $31.39 per hour, depending on experience, location, and employer.
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 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 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 are popular job titles related to Graph Neural Network jobs in Waltham, MA?
For Graph Neural Network jobs in Waltham, MA, the most frequently searched job titles are:
What job categories do people searching Graph Neural Network jobs in Waltham, MA look for?
The top searched job categories for Graph Neural Network jobs in Waltham, MA are:
What cities near Waltham, MA are hiring for Graph Neural Network jobs?
Cities near Waltham, MA with the most Graph Neural Network job openings:
Internship
Posted 12 days ago
Job description
The Graph Neural Network (GNN) Influenza Modeling Intern will support the development and evaluation of machine learning models to improve seasonal influenza forecasting. The intern will analyze historical and current influenza surveillance data, develop and validate forecasting models using Graph Neural Networks, and assess how integrating multiple public health data sources-including emergency department visits, hospitalizations, laboratory testing, immunizations, and wastewater surveillance-affects predictive accuracy. The intern will also build reproducible R and/or Python workflows, support model visualization and deployment, and document processes to ensure long-term sustainability of the forecasting model.
Learning Objectives
Learning Objectives
- Gain experience with influenza surveillance systems and public health data sources.
- Learn and compare traditional forecasting methods with machine learning and Graph Neural Network approaches.
- Develop and evaluate forecasting models using R and/or Python.
- Build reproducible analytical workflows and visualizations for public health applications.
- Document methodologies and support knowledge transfer to BPHC staff.
About Boston Public Health Commission
Sourced by ZipRecruiter
Industry
Public administration
Company size
1,001 - 5,000 Employees
Headquarters location
Boston, MA, US
Year founded
1799