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Graph Machine Learning Jobs (NOW HIRING)

Pravāh

ML Summer Intern

San Francisco, CA · On-site

$5K - $10K/mo

Contribute to world models of physical infrastructure Graph Machine Learning for Power Systems * Graph neural networks and graph transformers for modeling power flow and temporal dynamics in large ...

Omni Inclusive

Machine Learning

Dallas, TX

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Database - Snowflake, Oracle, Graph database * Programming & Scripting - Python, R, Unix-Shell ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Graph neural networks, including robust learning on graph-structured data, security and privacy issues in GNNs, graph-based anomaly detection, and trustworthy graph machine learning. Required ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME, counterfactual ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Exposure to graph databases (e.g., Neo4j). * Familiarity with CI/CD tools (e.g., Jenkins). * Domain ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google ...

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$212K - $318K/yr

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data ...

Samprasoft

Machine Learning Engineer

Durham, NC

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... EKS, Graph database), API and in-memory technologies * Strong knowledge of developing highly ...

PayPal, Inc.

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

Experience implementing and enhancing graph-based and relational machine learning techniques for structured or graph data (1 year) 14. Experience performing data preprocessing, feature engineering ...

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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 8, 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 May 2026, with employment types broken down into 5% As Needed, and 95% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

ML Summer Intern

Pravāh

San Francisco, CA • On-site

$5K - $10K/mo

Internship

Posted 16 days ago

Job description

About Pravah
Pravah is building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data - including satellite imagery, LiDAR, and street-level data - to build high-fidelity representations of grid assets and their surroundings.
We are backed by Khosla Ventures, Pear VC, and Conviction.
To know more about who we are, what we are building, and why we are excited read this Notion!
https://pravah.notion.site/
Role Overview
We are seeking highly motivated students with strong foundations in mathematics, machine learning, and computational methods to join us for a summer internship. As an ML Intern at Pravah, you will work on real, open-ended technical problems at the frontier of AI and physical systems.
What You Might Work On
Weather & Load Forecasting
  • Develop and improve forecasting models for weather and electricity demand
  • Working with large-scale weather foundation models, applying geo-targeted corrections, and fine-tuning for regional accuracy
  • Train models for improved performance across diverse and challenging real-world conditions

Computer Vision for Grid Mapping
  • Build models for object detection, segmentation, and depth estimation
  • Apply computer vision techniques to street view, LiDAR, and satellite imagery
  • Contribute to world models of physical infrastructure

Graph Machine Learning for Power Systems
  • Graph neural networks and graph transformers for modeling power flow and temporal dynamics in large-scale grids
  • Model and forecast behavior in large-scale power networks
  • Work on power flow modeling and system optimization
Who You Are
  • Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Math, Physics, or a related field
  • Strong foundation in machine learning
  • Comfortable with Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX) Experience with one or more of the following is a plus:
    • Time series forecasting
    • Computer vision
    • Graph neural networks
    • Geospatial data or physical systems modeling
  • Curious, self-driven, and comfortable working on open-ended problems
What You'll Gain
  • Hands-on experience solving real-world ML problems with direct impact
  • Exposure to cutting-edge research and production systems
  • Close collaboration with a deeply technical founding team
  • Opportunity to contribute to systems deployed across global energy infrastructure
Compensation
$5,000 - $10,000 per month, depending on experience and background.
Timeline & Application
Interviews are currently ongoing! So apply as soon as you can :)

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