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3D Machine Learning Jobs in Arizona (NOW HIRING)

... 3D printing and post-processing. The position includes preparing and finishing printed parts ... Ensure that machines are operating in an efficient manner, downtime is minimized, bulk material ...

... 3D printing and post-processing. The position includes preparing and finishing printed parts ... Ensure that machines are operating in an efficient manner, downtime is minimized, bulk material ...

... 3D printing and post-processing. The position includes preparing and finishing printed parts ... Ensure that machines are operating in an efficient manner, downtime is minimized, bulk material ...

Additive Manufacturing Shop Lead

Tucson, AZ · On-site

$41K - $53K/yr

... 3D printing and post-processing. The position includes preparing and finishing printed parts ... Ensure that machines are operating in an efficient manner, downtime is minimized, bulk material ...

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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 cities in Arizona are hiring for 3D Machine Learning jobs? Cities in Arizona with the most 3D Machine Learning job openings:
Packaging Module Equipment Development Engineer

Packaging Module Equipment Development Engineer

Intel Corporation

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers


Job description

Job Details:
Job Description:
Note: This role requires regular onsite presence to fulfill essential job responsibilities.
Develops assembly processes and/or equipment and applies innovative engineering concepts to support Intel's future assembly packaging platform technologies. Optimizes manufacturing processes to improve quality, reliability, cost, yield, productivity, and manufacturability.
Develops process and equipment specifications using Design of Experiments (DOE), Statistical Process Control (SPC), and data analysis methodologies to drive process optimization and continuous improvement. Documents technical findings, process improvements, and best practices through technical reports and white papers.
Develops and maintains equipment used to evaluate silicon and package technologies under simulated field-use conditions, including heat, humidity, temperature cycling, and dynamic force environments. Ensures manufacturability of package designs and supports manufacturing process flows, procedures, and implementation activities.
Collaborates with cross-functional engineering, manufacturing, supplier quality, and procurement teams to establish material specifications and ensure vendor performance and material quality standards are achieved. Supports innovation efforts focused on process reliability, manufacturing quality, and equipment efficiency.
Leads technical problem-solving and process improvement initiatives using experimental design and statistical analysis methods. Provides technical consultation related to packaging and manufacturing process improvements and responds to customer or stakeholder needs as required.
Partners with packaging technology development and engineering teams to drive process standardization, manufacturing quality improvements, and technology readiness aligned to product milestones and key risk areas.
Our metrology technologies are rapidly evolving toward advanced Artificial Intelligence (AI) and Machine Learning (ML) applications used to process equipment-generated 2D and 3D images from digital camera and ultrasound inspection systems. Current and future Metrology Engineers are expected to develop strong technical capabilities in the following areas:
  • Operating, programming, troubleshooting, and optimizing automated inspection equipment, including hands-on interaction with hardware components such as lighting systems, cameras, transducers, robotic systems, and conveyors.
  • Utilizing software tools to process and analyze inspection images, optimize algorithms and defect detection limits, run iterative analyses, and collaborate with AI experts and automation teams to improve true-defect detection while minimizing false positives and reducing manual operator review.
  • Performing data analysis to identify patterns, understand input/output relationships, and continuously improve inspection system performance and process capability.
  • Partnering with suppliers and cross-functional engineering teams to develop next-generation inspection and metrology technologies capable of detecting new failure modes in future products and materials.

Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
  • Bachelor's degree in Engineering, Physics, Chemistry, Materials Science, or a related technical field with 5+ years of engineering industry experience including inspection equipment; OR
  • Master's degree in a related field with 3+ years of engineering industry experience; OR
  • PhD in a related field with 6+ months of engineering industry experience.

Preferred Qualifications:
  • Experience with automated inspection tools, image processing algorithms and artificial intelligence.
  • Semiconductor fabrication processes and technology experience.
  • Advanced packaging and/or assembly process experience.
  • Experience with equipment selection, integration, ownership, and change control management systems.
  • Project management experience delivering results for complex, time-critical technical projects.
  • Strong technical problem-solving and innovation skills within manufacturing or engineering environments.

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $133,800.00-188,890.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968