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3D Machine Learning Jobs in Wisconsin (NOW HIRING)

... machines. The city of New Richmond is known as "The City Beautiful". It is an easy and quick ... Education Assistance Program to support your continued learning and development. * Work-Life ...

Proficiency with ERP systems, 3D modeling/CAD software, Microsoft Office, and other project-based ... Focus on learning core design standards, documentation practices, and manufacturing processes.

Proficiency with ERP systems, 3D modeling/CAD software, Microsoft Office, and other project-based ... Focus on learning core design standards, documentation practices, and manufacturing processes.

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

Mechanical Assembler

SYNTEGON

New Richmond, WI • On-site

$24/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Company Description
Together with 6,900 colleagues worldwide, we are the strategic lifecycle partner for the pharmaceutical, biotech, and food industries. With seamless processes, innovative technologies, and sustainable solutions, we help our customers achieve their goals. For example, we ensure that vaccines are safely filled and that tablets can fully release their active ingredients. Your favorite chocolate and snacks are also sustainably packaged with our help.
Syntegon Packaging Technology, LLC based in New Richmond, Wisconsin is part of the Syntegon Group. We provide innovative, seamless, high-tech packaging solutions for the food industry. The location specializes in a range of packaging equipment solutions - like horizontal flow wrappers, bag closing and sealers, and robotic pick-place-machines. The city of New Richmond is known as "The City Beautiful". It is an easy and quick commute in both directions from the Minneapolis/St. Paul Metro area and a short distance from Eau Claire, WI.
Take the first step! Apply now!
Job Description
The Mechanical Assembler is responsible for assembling and modifying mechanical assemblies according to Drawings, 3D-Models and Bill of Materials (BOM). This individual should be detailed orientated, able to work in a fast-paced manufacturing environment under minimal supervision to complete tasks.
  • Assemble mechanical assemblies, accurately, safely, and efficiently, per the bill of materials and assembly drawings with proper hand and power tools in the proper sequence utilizing "best practice" methods.
  • Interact and provide feedback to other departments such as (Fabrication, engineering etc.)
  • Supports a continuous improvement environment.

Qualifications
Basic Requirements
  • Technical degree or a minimum of 1 year' work experience with mechanical assembly in a production environment.
  • Ability to read and interpret blueprints
  • Proficient in the use of Various Hand and Power tools
  • Self-motivated with strong mechanical aptitude, detail oriented.
  • Must be able to lift up to 50 lbs. (above 50 lbs. with assistance) and work in any position for an extended period.
  • Ability to work with moving parts and mechanical hazards.

Preferred Qualifications
  • PC Knowledge, SolidWorks, SAP knowledge preferred.

Additional Information
The anticipated starting salary for this position is $24.00 hourly.
Compensation for roles at Syntegon varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. Total rewards at Syntegon include salary + bonus (if applicable) + benefits.
We Care About Your Well-Being
At Syntegon, the welfare of our employees is a top priority. That's why we offer a comprehensive and competitive benefits package designed to support your health, financial security, and personal growth from day one, including:
  • Health Coverage: Medical, Dental, Vision, and Prescription plans starting from your first day.
  • Retirement Savings: 401(k) plan with a generous company match to help you plan for the future.
  • Financial Protection: Employer-paid Short- and Long-Term Disability Insurance, plus Life Insurance for your peace of mind.
  • Career Growth: Education Assistance Program to support your continued learning and development.
  • Work-Life Balance: Paid Time Off to recharge and enjoy your personal time.
  • Support When You Need It: Access to our Employee Assistance Program for confidential counseling and resources.

Join Syntegon and enjoy benefits that help you thrive both at work and beyond.
Syntegon Technology is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) initiatives:
  • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
  • AWIM (A World In Motion)

By choice, we are an Equal Opportunity Employer committed to a diverse workforce.
We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.
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