Plano, TX · On-site +1
Design and implement graph neural network models to extract insights from large datasets. * Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
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Plano, TX · On-site +1
Design and implement graph neural network models to extract insights from large datasets. * Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Irving, TX · On-site
$15.50 - $18.75/hr
Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...
Irving, TX · On-site
$15.50 - $18.75/hr
Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...
$15.50 - $18.75/hr
Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...
$15.50 - $18.75/hr
Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...
Austin, TX · On-site
... graph transformations, and lowering passes • Optimize computational graphs and memory access ... neural network optimization Company : Neurophos develops photonic AI processing technology that ...
Austin, TX · On-site
... graph transformations, and lowering passes • Optimize computational graphs and memory access ... neural network optimization Company : Neurophos develops photonic AI processing technology that ...
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 ...
New
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 ...
New
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 ...
New
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 ...
New
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 ...
New
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 ...
New
Austin, TX · On-site
$250K - $315K/yr
... neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom backend development * Graph Theory: Graph ...
Austin, TX · On-site
$250K - $315K/yr
... neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom backend development * Graph Theory: Graph ...
Irving, TX · On-site
$100K - $137K/yr
... fine-tuning Neural Network training & tuning Traditional ML models (random forest, k-means ... flows) Microsoft Graph API SharePoint Outlook Planner OneDrive Pagination App permissions ...
New
Irving, TX · On-site
$100K - $137K/yr
... fine-tuning Neural Network training & tuning Traditional ML models (random forest, k-means ... flows) Microsoft Graph API SharePoint Outlook Planner OneDrive Pagination App permissions ...
New
... Network (AFIN). The role requires anomaly detection algorithms for identifying and isolating malicious threats using supervised and unsupervised learning, Graph Neural Networks, and Deep Learning ...
... Network (AFIN). The role requires anomaly detection algorithms for identifying and isolating malicious threats using supervised and unsupervised learning, Graph Neural Networks, and Deep Learning ...
Austin, TX · On-site
$121K - $160K/yr
... emerging neural network architectures and workloads. • Analyze complex hardware-software ... graph-level and codegen (e.g., Triton, XLA, torch compile) Preferred : • Deep expertise in the ...
Austin, TX · On-site
$121K - $160K/yr
... emerging neural network architectures and workloads. • Analyze complex hardware-software ... graph-level and codegen (e.g., Triton, XLA, torch compile) Preferred : • Deep expertise in the ...
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
Quick apply
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
$120K - $225K/yr
... analysis of neural network accelerators prior to silicon availability. The engineer will work ... Knowledge of AI software stacks (runtime, compiler, graph execution) * Familiarity with DMA engines ...
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.
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.
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.
Full-time
Posted 29 days ago
At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.
We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.
Summary: We are seeking a talented Graph Machine Learning Engineer to join our team and drive the development of innovative graph-based machine learning models. The ideal candidate will leverage their expertise to solve complex problems and enhance our data-driven decision-making capabilities.
Responsibilities:
Qualifications:
Ready to take the next step?
If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.
👉 Apply now and start building your journey with Vailexa.
