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Graph Machine Learning Jobs (NOW HIRING)

Dell GmbH

$150 - $200/hr

Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data ...

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Graph Machine Learning information

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How much do graph machine learning jobs pay per hour?

As of Sep 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:

What other helpful pages are available for Graph Machine Learning?

Other pages related to Graph Machine Learning:

Infographic showing various Graph Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

Graph Machine Learning Engineer (Network)

Plano, TX • On-site, Remote

Vailexa
See more jobs at Vailexaexternal

Full-time

Re-posted 26 days ago

Job description

Build More Than Just a Career. Build Your Future.

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:

  • 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.
  • Develop scalable algorithms for graph data processing and analysis.
  • Perform data pre-processing and feature engineering to ensure high-quality model inputs.
  • Stay up-to-date with the latest trends and advancements in graph machine learning.
  • Conduct experiments to evaluate model performance and refine algorithms as necessary.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in machine learning, with a focus on graph-based methods.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
  • Knowledge of graph databases and query languages (e.g., Neo4j, Cypher).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

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.