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Geometric Deep Learning Jobs in Ohio (NOW HIRING)

Varsity Tutors

Math 1 Tutor

Cleveland, OH · Remote

$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

Akron, OH · Remote

$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

Columbus, OH · Remote

$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

Cincinnati, OH · Remote

$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

Akron, OH · Remote

$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

Columbus, OH · Remote

$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

Cleveland, OH · Remote

$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

Cincinnati, OH · Remote

$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

Math 3 Tutor

Columbus, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of polynomial and rational functions, logarithmic and exponential modeling ...

Varsity Tutors

Math 3 Tutor

Cleveland, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of polynomial and rational functions, logarithmic and exponential modeling ...

Varsity Tutors

Math 3 Tutor

Akron, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of polynomial and rational functions, logarithmic and exponential modeling ...

Varsity Tutors

HSPT Math Tutor

Columbus, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of HSPT Mathematics section content including arithmetic, algebra, geometry ...

Varsity Tutors

Math 2 Tutor

Columbus, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of quadratic functions and equations, similarity and right triangle trigonometry ...

Varsity Tutors

Math 2 Tutor

Cincinnati, OH · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of quadratic functions and equations, similarity and right triangle trigonometry ...

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All JobsGeometric Deep Learning JobsGeometric Deep Learning Jobs in Ohio

Geometric Deep Learning information

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 Ohio? For Geometric Deep Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Geometric Deep Learning jobs in Ohio look for? The top searched job categories for Geometric Deep Learning jobs in Ohio are:
What cities in Ohio are hiring for Geometric Deep Learning jobs? Cities in Ohio with the most Geometric Deep Learning job openings:
Geometric Deep Learning jobs near you
Machine Learning Engineer, Perception

Machine Learning Engineer, Perception

Path Robotics

Columbus, OH • On-site, Remote

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 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 seeking passionate ML Engineers to join our team at the intersection of welding science and artificial intelligence. We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within and you'll be instrumental in developing robotic welding solutions. You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams.
What You'll Do
Experienced:
  • Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation, progressively expanding coverage across joint types and part geometries.
  • Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data ingestion, synthetic data generation, and structured dataset management for iterative model improvement.
  • Run rigorous model evaluation experiments, including failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds, and communicate findings clearly to guide next steps.
  • Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
  • Write clean, well-tested Python code; participate actively in code and experiment reviews; and maintain clear documentation of methods, parameters, and results.

Senior/Staff:
  • Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across structured light, RGB, and stereo sensors.
  • Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures
  • Design and lead real-time perception systems such as during-weld seam tracking, applying sensor fusion with probabilistic state estimation (e.g., Kalman filtering) to achieve robust weld performance.
  • Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through training, benchmarking, and fleet deployment, with clear go/no-go evaluation frameworks.
  • Architect distributed training and hyperparameter optimization workflows; drive strategy for data acquisition, annotation tooling, and synthetic vs. real scan data usage.
  • Mentor engineers across levels, providing technical leadership on perception systems and ML methodology.

Who You Are
  • Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); Bachelor's with strong production ML experience also considered.
  • 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML.
  • Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production.
  • Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like surface segmentation, spatial queries, and point-wise labeling.
  • Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches on geometric data.
  • Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments.
  • Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows

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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