Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory ... Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB). * API development and integration (e ...
Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory ... Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB). * API development and integration (e ...
Full Stack Software Engineer Anduril Washington, District of Columbia, United States
Washington, DC · On-site
$132 - $198/hr
Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory ... Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB). * API development and integration (e ...
New
Full Stack Software Engineer Anduril Washington, District of Columbia, United States
Washington, DC · On-site
$132 - $198/hr
Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory ... Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB). * API development and integration (e ...
New
We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph ... Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph ... Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
Graph Neural Network information
See Washington, DC salary details
$16.88 - $19.35
2% of jobs
$19.35 - $21.83
8% of jobs
$21.83 - $24.31
9% of jobs
$25.43 is the 25th percentile. Wages below this are outliers.
$24.31 - $26.78
11% of jobs
The median wage is $28.72 / hr.
$26.78 - $29.26
24% of jobs
$29.26 - $31.73
19% of jobs
$32.04 is the 75th percentile. Wages above this are outliers.
$31.73 - $34.21
8% of jobs
$34.21 - $36.68
6% of jobs
$36.68 - $39.16
4% of jobs
$39.16 - $41.63
4% of jobs
$41.63 - $44.11
3% of jobs
$16
$30
$44
How much do graph neural network jobs pay per hour?
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 the most commonly searched types of Graph Neural Network jobs in Washington, DC?
The most popular types of Graph Neural Network jobs in Washington, DC are:
What are popular job titles related to Graph Neural Network jobs in Washington, DC?
For Graph Neural Network jobs in Washington, DC, the most frequently searched job titles are:
- Junior Machine Learning Engineer
- Machine Learning Engineer
- Machine Learning Software Engineer
- Senior Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Deep Learning Engineer
- Phd Vision Science
- Machine Learning Engineer Apprenticeship
- Hourly Remote Machine Learning Engineer
What job categories do people searching Graph Neural Network jobs in Washington, DC look for?
The top searched job categories for Graph Neural Network jobs in Washington, DC are:
- Machine Learning Biomedical Engineer
- Machine Learning Startup
- Assistant Llm Developer
- Deep Learning Ai
- Virtual Aws Machine Learning
- Machine Learning Engineer Hybrid
- Junior Machine Learning Compiler Engineer
- Seasonal Medical Imaging Machine Learning
- Senior Meta Machine Learning
- Remote Machine Learning Compiler Engineer

Other
Re-posted 29 days ago
Anduril rating
9.1
Anduril
Based on 17 frontline employees who took The Breakroom Quiz
7.4
Manufacturers average
Based on 75,873 frontline employees who took The Breakroom Quiz
Job description
Working at Anduril
About Anduril, in their own words
From Anduril
As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.
About Anduril Industries
Sourced by ZipRecruiter
Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Costa Mesa, CA, US
Year founded
2017