Manager, Machine Learning
$180K - $210K/yr
Required: * 6+ years of work experience building and deploying machine learning systems into ... Experience with graph data and graph-based models (e.g., PyTorch Geometric) * Experience with model ...
Manager, Machine Learning
$180K - $210K/yr
Required: * 6+ years of work experience building and deploying machine learning systems into ... Experience with graph data and graph-based models (e.g., PyTorch Geometric) * Experience with model ...
Sr Machine Learning Engineer
$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 ...
Sr Machine Learning Engineer
$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 ...
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 ...
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 ...
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 ...
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 ...
DSA is looking for machine learning engineer with reinforcement learning and graph theory experienceto support customers in the missile warning/missile tracking domain. This is afull-timeposition ...
DSA is looking for machine learning engineer with reinforcement learning and graph theory experienceto support customers in the missile warning/missile tracking domain. This is afull-timeposition ...
DSA is looking for machine learning engineer with reinforcement learning and graph theory experienceto support customers in the missile warning/missile tracking domain. This is afull-timeposition ...
DSA is looking for machine learning engineer with reinforcement learning and graph theory experienceto support customers in the missile warning/missile tracking domain. This is afull-timeposition ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
... graph models. Throughout your journey, you'll have access to unparalleled resources, including ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) -...
Seattle, WA · On-site
... graph models. Throughout your journey, you'll have access to unparalleled resources, including ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... graph neural networks, computer vision, and physics-based modeling and simulation tools.
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... graph neural networks, computer vision, and physics-based modeling and simulation tools.
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... graph neural networks, computer vision, and physics-based modeling and simulation tools.
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... graph neural networks, computer vision, and physics-based modeling and simulation tools.
DSA is looking for machine learning engineer with reinforcement learning and graph theory experience to support customers in the missile warning/missile tracking domain. This is a full-time position ...
DSA is looking for machine learning engineer with reinforcement learning and graph theory experience to support customers in the missile warning/missile tracking domain. This is a full-time position ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
3D Machine Learning Engineer
Irvine, CA · On-site
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
3D Machine Learning Engineer
Irvine, CA · On-site
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
3D Machine Learning Engineer
Irvine, CA · On-site
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
3D Machine Learning Engineer
Irvine, CA · On-site
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Un...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling ...
2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - Un...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
Quick apply
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g ...
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 ...
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 ...
Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Experience with Graph Analysis Clearance Requirements: * Must have an active TS/SCI + Poly Physical ...
Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Experience with Graph Analysis Clearance Requirements: * Must have an active TS/SCI + Poly Physical ...
Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs. * Prior research experience utilizing machine ...
Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs. * Prior research experience utilizing machine ...
Machine Learning Engineer, Proactive
$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 ...
Machine Learning Engineer, Proactive
$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 ...
Graph Machine Learning information
See salary details
$13.94 - $17.09
8% of jobs
$17.09 - $20.24
5% of jobs
$21.32 is the 25th percentile. Wages below this are outliers.
$20.24 - $23.38
33% of jobs
The median wage is $23.75 / hr.
$23.38 - $26.53
27% of jobs
$26.84 is the 75th percentile. Wages above this are outliers.
$26.53 - $29.68
10% of jobs
$29.68 - $32.82
4% of jobs
$32.82 - $35.97
6% of jobs
$35.97 - $39.12
2% of jobs
$39.12 - $42.26
1% of jobs
$42.26 - $45.41
0% of jobs
$45.41 - $48.56
2% of jobs
$13
$26
$48
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?
| Aspect | Graph Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of graph theory and machine learning | Degree in Statistics, Computer Science, or related fields; proficiency in data analysis and programming |
| Work Environment | Research labs, tech companies, AI startups focusing on graph data | Business, finance, healthcare, and tech industries analyzing diverse data sets |
| Industry Usage | Specialized in graph data analysis and machine learning models on graph structures | Broad 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:
$180K - $210K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 7 days ago
Job description
About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution. You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring. You'll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities.
What You'll Be Doing:
Required:
Preferred:
Estimated Pay Range: $180,000-$210,000 per year salaried*
Life at Extend:
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Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You will lead a team of ML data scientists on the Fraud and ML team, owning the development and quality of Extend's machine learning models across fraud detection, risk assessment, and identity resolution. You'll guide your team through the full data science lifecycle, from requirements and experimentation through model development, evaluation, and monitoring. You'll partner closely with Product and Engineering on integrating ML models into our product and with our Fraud Intelligence team to continuously improve our fraud detection capabilities.
What You'll Be Doing:
- Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
- Translate business problems into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
- Design and maintain feature engineering pipelines for model development
- Drive experiment design and statistical rigor: ensuring models are evaluated with sound methodology before and after launch
- Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
- Cultivate a culture of learning and collaboration within and across partner teams
- Perform design and code reviews to raise the technical excellence bar
- Hire, mentor, and coach data scientists
Required:
- 6+ years of work experience building and deploying machine learning systems into production
- 2+ years experience mentoring and managing ML teams
- Strong proficiency in Python and SQL
- Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
- Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
- Strong people leadership skills with the ability to develop ML talent
- Excellent stakeholder management, with a track record of working cross-functionally to deliver results
- Empathy and humility
Preferred:
- Experience building fraud detection or risk assessment systems
- Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
- Experience with graph data and graph-based models (e.g., PyTorch Geometric)
- Experience with model monitoring and observability tooling (e.g., Arize)
Estimated Pay Range: $180,000-$210,000 per year salaried*
Life at Extend:
- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
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