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Geometric Deep Learning Jobs in Tempe, AZ (NOW HIRING)

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Design, train, and optimize deep learning and computer vision models for automated defect detection ... Develop high-precision image registration, geometric alignment, and image matching algorithms to ...

Cisco

Applied AI Scientist

Phoenix, AZ · On-site

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...

Cisco

Applied AI Scientist

Tempe, AZ · On-site

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...

Varsity Tutors

Math 1 Tutor

Chandler, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Mesa, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Phoenix, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Gilbert, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Glendale, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Math 1 Tutor

Tempe, AZ · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Varsity Tutors

Geometry Tutor

Chandler, AZ · Remote

$18 - $40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Geometry Tutor

Tempe, AZ · Remote

$18 - $40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Geometry Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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All JobsGeometric Deep Learning JobsGeometric Deep Learning Jobs in Tempe, AZ

Geometric Deep Learning information

See Tempe, AZ salary details

$10.5K

$80.3K

$134.1K

How much do geometric deep learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for geometric deep learning in Tempe, AZ is $80,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a geometric deep learning engineer?

To excel as a Geometric Deep Learning Engineer, you need a strong background in mathematics, machine learning, and computer science, typically supported by an advanced degree in a related field. Proficiency with deep learning frameworks like PyTorch or TensorFlow, as well as experience with graph neural networks (GNNs) and geometric data structures, is essential. Strong analytical thinking, problem-solving abilities, and collaborative communication are key soft skills for innovating and working with interdisciplinary teams. These skills are crucial for developing cutting-edge models that leverage geometric data, enabling impactful solutions across domains such as computer vision, biology, and social network analysis.

What are some common challenges faced when working on geometric deep learning projects, and how can they be addressed?

One common challenge in Geometric Deep Learning is dealing with the complexity and diversity of data structures, such as graphs, point clouds, or manifolds. These data types often require specialized neural network architectures and custom preprocessing steps, which can be more complex than traditional deep learning tasks. Collaboration with domain experts and staying updated with the latest research are crucial for overcoming these obstacles. Additionally, debugging and visualizing the learning process can be more challenging, so employing robust evaluation metrics and visualization tools is highly recommended.

What is the difference between Geometric Deep Learning vs Data Scientist?

AspectGeometric Deep LearningData Scientist
Required CredentialsAdvanced degrees in computer science, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, product teams, consulting firms
Industry UsageAI, robotics, computer vision, graph analysisBusiness intelligence, marketing, finance, healthcare

Geometric Deep Learning focuses on applying deep learning techniques to non-Euclidean data like graphs and manifolds, often requiring advanced technical skills. Data Scientists analyze and interpret data to inform business decisions, typically working with structured data and statistical tools. While both roles involve data analysis, Geometric Deep Learning is more research-oriented and specialized in AI development, whereas Data Scientists focus on practical data insights across industries.

What are popular job titles related to Geometric Deep Learning jobs in Tempe, AZ?

For Geometric Deep Learning jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Geometric Deep Learning jobs in Tempe, AZ look for?

The top searched job categories for Geometric Deep Learning jobs in Tempe, AZ are:

Geometric Deep Learning jobs near you
Infographic showing various Geometric Deep Learning job openings in Tempe, AZ as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $80,343 per year, or $38.6 per hour.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 28 days ago

Job description

Job Description
Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.
The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Algorithm & Model Development
  • Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
  • Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
Die-to-Database (DB) Comparison
  • Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
  • Improve alignment accuracy and robustness under varying imaging conditions.
Advanced Data Analytics
  • Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
  • Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
Model Development & Continuous Improvement
  • Evaluate model performance using real-world inspection data and analyze edge cases.
  • Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
  • Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
Miscellaneous Responsibilities
  • Document algorithms, experiments, and model performance results.
  • Participate in code reviews, technical discussions, and knowledge sharing.
  • Assist with data preparation, annotation, validation, and quality assurance.
  • Stay current with advances in computer vision, machine learning, and AI technologies.
  • Collaborate with cross-functional teams to support product development and model deployment.
  • Perform other duties as assigned.

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