1

3D Machine Learning Jobs in Ohio (NOW HIRING)

Develop, validate, and deploy predictive models using QSAR, machine learning, artificial intelligence, and 2D/3D computational approaches for small-molecule analysis and property prediction. * Apply ...

next page

Showing results 1-20

People also search for

3D Machine Learning information

What are some common challenges faced by professionals working in 3D machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is 3D machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3D Machine Learning Engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Ohio? For 3D Machine Learning jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for 3D Machine Learning jobs? Cities in Ohio with the most 3D Machine Learning job openings:

Vision Systems Engineer - Raymond, Ohio (on-site only)

Thomas & Reed, LLC

Dayton, OH

Contractor

Posted 29 days ago

Be an early applicant


Job description

Vision Systems Engineer
Location: ADC Raymond, OH
Contract to Hire
Duration: 12 month + conversion/extension

Description:

The HDMA Digital Innovation Division, Digital Manufacturing Unit, IoT Solutions Development group was created to survey Honda’s manufacturing business and develop strategy for prioritized development of digital solutions that enable improved production efficiency, quality, and safety for a sustainable future.
The IoT Solutions Engineer is engaging with NA regional plant floor customers to identify opportunities to develop and test technology/concepts and prove the ability to deliver reliable value to our customer. Ideal candidate for this role has a creator mindset, is excited to maintain awareness of digital technology developments, and then develop new, reliable solutions that enable Honda competitiveness, while also being risk averse.

• Development of new digital technology solutions such as vision inspection systems, AI and M/L analysis of machine/sensor data.
• Analyze user/customer needs along with manufacturing problems and align them with product/technology opportunities.
• Contribute to and execution of IoT strategy and roadmap for selected areas.
• Monitor developments of new technologies for IoT potential in future projects
• Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects.


QUALIFICATIONS, EXPERIENCE, & SKILLS

Minimum Educational Qualifications: Bachelor’s degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience

Minimum Experience: 2+ years’ experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry

Other Job-Specific Skills:
-Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality.
-Knowledge of manufacturing equipment controls and logic – preferably in at least one of Mitsubishi, Rockwell, Siemens, or Omron PLCs.
-Understanding of computer vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques.
-Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning.
-Experience with vibration, audio, or current signature analysis

Interested candidates please contact Sue HUettl at shuettl@trllc-cpa.com