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3D Machine Learning Jobs in Utah (NOW HIRING)

Proficiency in Bentley MicroStation/OpenRoads Designer and/or Autodesk Civil 3D; familiarity with ... copy machines. May require occasional exposure to work environments that may include inclement ...

Proficiency in Bentley MicroStation/OpenRoads Designer and/or Autodesk Civil 3D; familiarity with ... copy machines. May require occasional exposure to work environments that may include inclement ...

Proficiency in Bentley MicroStation/OpenRoads Designer and/or Autodesk Civil 3D; familiarity with ... copy machines. May require occasional exposure to work environments that may include inclement ...

Proficiency in Bentley MicroStation/OpenRoads Designer and/or Autodesk Civil 3D; familiarity with ... copy machines. May require occasional exposure to work environments that may include inclement ...

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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 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:
Structural Engineer - Entry Level (Hybrid)

Structural Engineer - Entry Level (Hybrid)

Barr Engineering Co.

Salt Lake City, UT • On-site

$65K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

The role - what you'll do
Barr is seeking a structural engineer to join our structural team. In this hybrid role, you will support our structural engineering group by providing design and technical expertise for heavy industrial sites such as natural gas facilities, hydroelectric plants, dams, power plants, and mining facilities. You'll work on multidisciplinary project teams to perform structural analysis and structural inspection, develop plans and specifications, create structural models, write reports, and support construction assistance and activities. This position may include short-term travel for field assignments.
The ideal candidate is detail-oriented, technically skilled, and thrives in a collaborative environment. You bring strong communication and problem-solving abilities, a flexible working style, and a commitment to delivering high-quality engineering solutions that align with Barr's values.
Your impact - key responsibilities
  • Technical knowledge: assist with engineering calculations and modeling for a variety of industrial, hydro, and energy-related structures.
  • Project support: prepare engineering drawings, technical specifications, and design documentation. Contribute to project reports and help develop cost estimates for engineering solutions.
  • Fieldwork: participate in site visits and inspections to observe construction activities and help ensure compliance with design intent.
  • Software: use word processing, spreadsheet, and structural engineering software (AutoCAD, Revit, Advanced Steel, MathCAD, StaadPro, Risa3D) to support project tasks and team collaboration.
  • Team collaboration: work closely with a multidisciplinary team of engineers and project managers while developing your skillset in a professional consulting environment.

About the opportunity
  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Salt Lake City, Utah office.
  • Travel expectation: willingness to travel and periodically adjust personal schedule to meet project needs (up to 30% travel and fieldwork possible; project needs will vary).
  • Work environment: ability to work in locations that may feature rough terrain typical of construction, heavy industrial, mining, power, manufacturing, and/or rural outdoor sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

Physical requirements for the role may include:
  • Ability to conduct fieldwork in varying outdoor conditions (e.g., heat, cold, rain, uneven terrain).
  • Must be able to lift and carry equipment and materials weighing up to 50 pounds.
  • Capable of standing, walking, kneeling, or crouching for extended periods.
  • Use of personal protective equipment (PPE) as required by site conditions.

About you - required core competencies
  • 0-5 years of relevant experience in structural engineering, which may include internships or co-op positions.
  • Education: bachelor's degree in civil engineering with a structural emphasis (including structural analysis and steel and concrete design).
  • Licenses/certifications: Engineer-in-Training (EIT) certified or ability to obtain within one year.
  • Software: familiarity with AutoCAD, Excel, and Word. Preferred, but not required: experience with Revit, STAAD Pro, Advanced Steel, RISA 3D, or MathCAD.
  • Driver's license: possession of a current, valid driver's license and acceptable driving record
  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Compensation: Anticipated range of $65,000-$80,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salary) under the Fair Labor Standards Act.
#LI-Hybrid #Handshake
Benefits - what we offer
We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.
  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care
  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock
  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders
  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities
  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave
  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.
About us - why choose Barr
At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.
As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.
To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture
Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.