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Geometric Deep Learning Jobs in Columbus, OH (NOW HIRING)

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Geometric Deep Learning information

See Columbus, OH salary details

$10.6K

$81K

$135.2K

How much do geometric deep learning jobs pay per year?

As of Jun 12, 2026, the average yearly pay for geometric deep learning in Columbus, OH is $81,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $134,300.00 per year, depending on experience, location, and employer.

What is geometric deep learning?

Geometric deep learning is a field of machine learning that focuses on the design of neural network architectures capable of processing data with non-Euclidean structures, such as graphs, manifolds, and point clouds. Unlike traditional deep learning methods, which work well with grid-like data such as images, geometric deep learning tackles challenges where data has more complex, irregular structures. Applications include social network analysis, 3D shape recognition, drug discovery, and recommendation systems. The field aims to generalize deep learning techniques to data that is best represented by geometric or topological constructs.

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 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 are the key skills and qualifications needed to thrive as a Geometric Deep Learning Engineer, and why are they important?

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 popular job titles related to Geometric Deep Learning jobs in Columbus, OH? For Geometric Deep Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Geometric Deep Learning jobs in Columbus, OH look for? The top searched job categories for Geometric Deep Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Geometric Deep Learning jobs? Cities near Columbus, OH with the most Geometric Deep Learning job openings:
Geometric Deep Learning jobs near you
Senior Software Engineer - Robotics, Perception (C++, Python)

Senior Software Engineer - Robotics, Perception (C++, Python)

Path Robotics

Columbus, OH

$118K - $156K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Build the Path Forward

At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We're looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you'll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You'll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.

What You'll Do
  • Drive software architecture decisions across robotics and perception systems.
  • Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.
  • Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.
  • Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.
  • Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.
  • Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.
Who You Are
  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.
  • Solid grasp of system-level software design, concurrency, memory management, and optimization.
  • Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.
  • Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.
  • Proficient in Linux-based development; experience with Docker strongly preferred

Why You'll Love Working Here

  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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