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3D Machine Learning Jobs in Utah (NOW HIRING)

UVeye

CAD Engineer

Magna, UT · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Design and develop high-quality 2D and 3D CAD models for customer site implementations. * Configure ...

Graco, Inc.

Manufacturing Engineer Intern

Kamas, UT

$16.75 - $21.75/hr

Experience with 3D printers Mechanical Engineer Intern Position Summary: Join our dynamic team at ... You will build skills in machine design, failure analysis, strength of materials, fluid mechanics ...

Graco

Manufacturing Engineer Intern

Kamas, UT · On-site

$16.75 - $21.75/hr

You'll also take part in events designed to support both your learning and personal development ... Experience with 3D printers Mechanical Engineer Intern Position Summary: Join our dynamic team at ...

Graco, Inc.

Manufacturing Engineer Intern

Kamas, UT · On-site

$16.75 - $21.75/hr

Experience with 3D printers Mechanical Engineer Intern Position Summary: Join our dynamic team at ... You will build skills in machine design, failure analysis, strength of materials, fluid mechanics ...

Ultradent Products Inc

Controls Engineer

Salt Lake City, UT

$80.80K - $104.50K/yr

We place heavy emphasis on continuous learning and improvement, both on an individual level and ... These resources include 3D printing, CNC machining, and your other team members. * Experience ...

Ultradent Products, Inc.

Controls Engineer

Salt Lake City, UT · On-site

$80.80K - $104.50K/yr

We place heavy emphasis on continuous learning and improvement, both on an individual level and ... These resources include 3D printing, CNC machining, and your other team members. * Experience ...

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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 Utah? For 3D Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Utah look for? The top searched job categories for 3D Machine Learning jobs in Utah are:
What cities in Utah are hiring for 3D Machine Learning jobs? Cities in Utah with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
CAD Engineer

CAD Engineer

UVeye

Magna, UT • On-site, Remote

$60K - $80K/yr

Full-time

Posted 25 days ago

Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you will design customer site layouts that enable the successful deployment of UVeye systems across the United States. You will work closely with implementation managers, customers, and internal stakeholders to translate real-world site requirements into accurate CAD models. This is a high-impact role in a fast-growing environment, requiring strong technical expertise, problem-solving skills, and the ability to work cross-functionally to support customer deployments.
A day in the life and how you'll make an impact:
  • Design and develop high-quality 2D and 3D CAD models for customer site implementations.
  • Configure, deploy, maintain, and upgrade CAD models to support installation projects.
  • Create designs that meet requirements for feasibility, performance, cost, quality, safety, and timing.
  • Ensure all engineering work complies with company design standards, safety guidelines, environmental regulations, and quality procedures.
  • Collaborate with Implementation Managers, leadership, and cross-functional teams to support installation timelines and project goals.
  • Communicate with customers to gather critical design requirements and clarify site specifications.
  • Maintain accurate design documentation and project updates within CRM systems.
  • Revise and refine CAD models based on feedback from internal stakeholders and clients.
  • Identify design limitations, assumptions, and solutions during the development process.
  • Support the implementation and improvement of CAD engineering tools, workflows, and systems.
  • Stay current on advancements in materials, software technologies, and CAD best practices.
  • Contribute to the continuous improvement of internal processes and design standards.

Requirements
  • Associate's degree (2-year) in Engineering, Drafting, or a related field preferred
  • Bachelor's degree or relevant technical certifications a plus
  • 3+ years of experience using CAD software in a professional environment
  • Strong ability to visualize and design in three dimensions
  • Excellent organizational skills and attention to detail
  • Experience working within CRM systems (Salesforce, Zendesk, or similar)
  • Strong written and verbal communication and collaboration skills
  • Ability to work both independently and as part of a team
  • Comfortable managing complex projects and seeing them through to completion
  • Ability to sit for extended periods while working with design software
  • Ability to meet project timelines and deliver high-quality designs with urgency
  • Comfortable working in a fast-paced, evolving startup environment
  • Ability to incorporate feedback quickly and iterate on designs efficiently
  • Commitment to continuous learning and professional development

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $60,000 - $80,000.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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