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3D Machine Learning Jobs in Ohio (NOW HIRING)

Mechanical Project Engineer

Mason, OH · On-site

$72K - $98K/yr

We provide stable career opportunities while working at the forefront of machining and automation ... Develop complete design packages (3D models, drawings, BOMs, documentation) * Perform mechanical ...

Mechanical Project Engineer

Mason, OH · On-site

$72K - $98K/yr

We provide stable career opportunities while working at the forefront of machining and automation ... Develop complete design packages (3D models, drawings, BOMs, documentation) * Perform mechanical ...

Mechanical Project Engineer

Mason, OH · On-site

$72K - $98K/yr

We provide stable career opportunities while working at the forefront of machining and automation ... Develop complete design packages (3D models, drawings, BOMs, documentation) * Perform mechanical ...

... 3D CAD, CAD/CAM, and Quality Control. Performs student learning outcome assessment to make ... Minimum of five (5) years' experience as a machinist or other related role within industry ...

Creates and/or modifies 3D models, design drawings and bills of material for manufacturing and ... Practical Learning * Analytical Thinking WORK ENVIRONMENT AND EXPECTATIONS * Job duties are ...

Creates and/or modifies 3D models, design drawings and bills of material for manufacturing and ... Practical Learning * Analytical Thinking WORK ENVIRONMENT AND EXPECTATIONS * Job duties are ...

Creates and/or modifies 3D models, design drawings and bills of material for manufacturing and ... Practical Learning * Analytical Thinking WORK ENVIRONMENT AND EXPECTATIONS * Job duties are ...

Project Engineer

Highland Heights, OH · On-site

$90K - $144K/yr

Machine Design * Strong Drafting and 3D Pro-Engineer (Creo) * Knowledge of mechanical and ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Software Engineer II

Canton, OH · On-site

$79.02 - $119.51/hr

... 3D cameras and programmable devices. * Employ advanced techniques--such as deep learning--to enhance system accuracy, robustness, and scalability. * Partner with internal teams to evaluate machine ...

Showing results 41-60

3D Machine Learning information

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 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 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 job categories do people searching 3D Machine Learning jobs in Ohio look for?

The top searched job categories for 3D Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for 3D Machine Learning jobs?

Cities in Ohio with the most 3D Machine Learning job openings:

Research Scientist- Neurology

Ohio State University

Columbus, OH • On-site

$110 - $160/hr

Other

Posted 2 days ago

New


Job description

## Research Scientist- NeurologyApplylocations: College of Medicine/Office of Health Sciencestime type: Full timeposted on: Posted Yesterdayjob requisition id: R156861Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu. If you have questions while submitting an application, please review these frequently asked questions.**Current Employees and Students:**If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:* Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.* Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.## Job Title:Research Scientist- Neurology## Department:Medicine | NeurologyThe Research Scientist is responsible for leading and managing a nationally competitive research program focused on neurodegeneration within the Department of Neurology and advancing the newly established multi-department initiative, NeuroMAP (Neurodegenerative Mapping and Phenotyping). This highly specialized position requires independent scientific leadership and direct accountability for shaping and executing the research agenda. The individual will play a pivotal role in the development and implementation of NeuroMAP, with a primary emphasis on NeuroATLAS (Advanced Tissue Light-Sheet Microscopy Analysis and Segmentation). This work will support cutting-edge 3D tissue phenotyping through light-sheet microscopy, AI-enabled image analysis, and cross-organ data integration. In addition to conducting independent and collaborative research, the individual will be instrumental in establishing NeuroMAP , including laboratory build-out, implementation of specialized equipment, and development of operational workflows. A key responsibility of the role is contributing to the acquisition of salary and programmatic funding by providing scientific expertise, generating preliminary data, and supporting the development of competitive grant proposals as a co-investigator or collaborator for extramural sponsors.Responsibilities span the full research lifecycle, including developing and testing novel hypotheses; planning, designing, and executing complex research studies; creating and implementing innovative research methodologies; conducting rigorous statistical analyses; and interpreting and communicating findings. The individual will contribute to scholarly dissemination through authorship of manuscripts, abstracts, presentations, and reports published in peer-reviewed journals. The position also carries responsibility for ensuring compliance with federal, institutional, and laboratory safety regulations while overseeing the day-to-day operations of the research program. This includes directing laboratory procurement activities, ensuring proper maintenance and operation of research equipment, fostering new collaborative opportunities, and providing formal supervision, training, and mentorship to junior research staff, postdoctoral scholars, residents, fellows, and students. Through these efforts, the individual will help advance the NeuroMAP mission and strengthen the institution’s leadership in neurodegenerative disease research.**Minimum Education & Experience Required**Doctoral degree (Ph.D., M.D., or equivalent terminal degree) in Biology, Molecular or Cellular Biology, Medicine, Biomedical Sciences, Engineering, or a closely related field, with advanced expertise in the relevant scientific discipline. Preferred candidates will have experience in high-resolution imaging, tissue clearing, light-sheet microscopy, biomedical image analysis, and the application of these technologies to research areas such as neurodegeneration, neuroimmunology, or aging. Strong experience with quantitative image analysis, machine learning, multi-modal data generation, quality control processes, and interpretation of complex research data is highly desirable. Successful completion of a background check is required as a condition of employment, and selected candidates may also be required to complete a pre-employment physical examination, including a drug screening.**NeuroMAP Lab located at 1381 Kinnear Rd, Columbus, OH 43212**## Additional Information:*Join an exciting and transformative research initiative at The Ohio State University as a Research Scientist supporting the newly established NeuroMAP (Neurodegenerative Mapping and Phenotyping) platform and the NeuroATLAS pillar. This highly visible leadership role offers the opportunity to advance cutting-edge research in neurodegeneration through the integration of advanced tissue clearing, light-sheet microscopy, artificial intelligence, and multi-modal data analysis. The successful candidate will help shape a nationally competitive research program, develop innovative imaging and analytical methodologies, collaborate with multidisciplinary investigators across translational neuroscience programs, and contribute to securing extramural funding. In addition to leading groundbreaking scientific discoveries, this position will play a pivotal role in building and optimizing a state-of-the-art research infrastructure, mentoring the next generation of scientists, and advancing Ohio State's growing leadership in Alzheimer's disease and neurodegenerative disease research. Ideal for an established investigator seeking scientific independence, collaborative opportunities, and access to world-class resources, this position offers the chance to make a lasting impact on neuroscience research and patient outcomes.*## Location:Twelfth Ave, 395 W (0356)## Position Type:Regular## Scheduled Hours:40## **Shift:**First Shift***Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.*** #J-18808-Ljbffr