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Graph Machine Learning Jobs (NOW HIRING)

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernal Framework, AutoGen, Lang Graph, Machine Learning, or other Microsoft AI platforms. * Knowledge of NLP, generative AI, and ...

Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry ...

Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry ...

Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry ...

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure ... Zero-to-one development and support of a graph ML codebase and platform that abstracts away common ...

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure ... Zero-to-one development and support of a graph ML codebase and platform that abstracts away common ...

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Graph Machine Learning information

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How much do graph machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for graph machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Graph Machine Learning vs Data Scientist?

AspectGraph Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of graph theory and machine learningDegree in Statistics, Computer Science, or related fields; proficiency in data analysis and programming
Work EnvironmentResearch labs, tech companies, AI startups focusing on graph dataBusiness, finance, healthcare, and tech industries analyzing diverse data sets
Industry UsageSpecialized in graph data analysis and machine learning models on graph structuresBroad data analysis, modeling, and insights across various sectors

Graph Machine Learning focuses on developing algorithms for graph-structured data, while Data Scientists analyze and interpret diverse data sets across industries. Both roles require strong analytical skills, but their focus areas and tools differ significantly.

What cities are hiring for Graph Machine Learning jobs? Cities with the most Graph Machine Learning job openings:
Infographic showing various Graph Machine Learning job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Temporary. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Machine Learning Engineer - Generative Al

Machine Learning Engineer - Generative Al

Intraedge

Sunrise, FL • Hybrid

Other

Posted 11 days ago


Job description

Machine Learning Engineer - Generative Al
Location:Sunrise,FL(Day 1 onsite Hybrid 3 days a week in office)
Duration: Long Term Contract

Job description:
Our client seeking a Machine Learning Engineer to design, build, and deploy Generative Al solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAl use cases, from model selection to production-ready systems.
Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google Cloud Platform
Key Responsibilities
Develop and productionize GenAl applications using LLMs (open-source and closed-source).
Design agentic workflows using LangChain and LangGraph.
Implement short-term and long-term memory strategies for LLM-based systems.
Optimize prompts, retrieval pipelines, and orchestration logic.
Colaborate with product and platform teams to deliver scalable Al solutions.
Required Qualifications
Strong experience with LLMs (e.g., OpenAl, Anthropic, Llama, Mistral).
Hands-on experience with LangChain and/ or LangGraph.
Solid understanding of LLM memory architectures and state management.
Proficiency in Python and ML engineering best practices.
Nice to Have
Experience with Google Cloud Platform services (e.g.,Vertex Al, BigQuery, GCS).
Experience deploying ML/GenAl systems in production environments.

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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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