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3D Machine Learning Jobs in Arizona (NOW HIRING)

Familiarity with common manufacturing and prototyping processes such as 3D printing, CNC machining ... Learning & Development programs * Employee Resource Groups (ERGs) * And yes, we have snacks in our ...

Expertise in one or more manufacturing processes, such as CNC Machining, 3D Printing, Injection ... Passionate about learning, building solutions, and tackling challenges. * Outstanding verbal and ...

Engage in continuous learning within a thriving aviation environment. * Leadership Opportunities ... Proficiency in AutoCAD, Civil 3D, and Microsoft Office Joining Lochner means gaining access to a ...

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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:

Engineer I, Inspection Technology

LG Energy Solution Arizona

Queen Creek, AZ • On-site

Full-time

Re-posted 5 days ago


Job description

We awaken the world with energy.

LG Energy Solution is the global leader in lithium-ion battery technology for electric vehicles and energy storage solutions. Located in Queen Creek, Arizona, LG Energy Solution Arizona, Inc. is LG Group's first cylindrical battery manufacturer in North America, leading the widespread distribution of electric vehicles with the most advanced battery technology in the world.

Join us as we inspire our talent with growth, challenge, action and collaboration to Empower Every Possibility!

Job Summary:

The Inspection Technology Engineer I supports the implementation, validation, and continuous improvement of automated inspection systems used in cylindrical lithium-ion battery cell manufacturing. This role focuses on ensuring inspection systems operate reliably, detect defects accurately, and support safe, high-volume production for EV battery applications.

The role is hands-on and highly collaborative, working closely with Production, Quality Assurance, Equipment Engineering, and EHS teams in a fast-paced environment. The engineer will gain exposure to vision systems, X-ray inspection, metrology, and automated electrical test systems across electrode, assembly, and formation processes.

Responsibilities:

Support inspection, manufacturing, or automation processes on the production floor.

Assist with setup, validation, and optimization of inspection and production equipment.

Analyze basic process and inspection data to support yield and quality improvements.

Support troubleshooting of equipment and process-related issues under guidance.

Participate in new model introductions and process change activities.

Follow SOPs, work instructions, and engineering standards.

Collaborate with technicians, engineers, and cross-functional teams.

Support documentation, reporting, and continuous improvement activities.

Qualifications:

Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, Manufacturing, or related field).

1+ years of experience in a manufacturing or industrial environment (internship or co-op acceptable).

Basic understanding of manufacturing processes and quality concepts.

Fundamental understanding of automated equipment or inspection systems.

Knowledge of machine vision algorithm libraries (Halcon, OpenCV) and deep learning models.

Exposure to maintenance of in-line inspection systems (Machine Vision, 3D metrology, X-ray and CT).

Understanding of measurement system analysis (MSA) and gage R&R using Minitab.

Skills:

Basic data analysis skills.

Problem-solving mindset with willingness to learn.

Strong communication and teamwork skills.

Ability to follow procedures and engineering standards.

Basic technical documentation skills.

Why should you work here?

1. Growth - You are a self-driven individual who seeks and captures the opportunities for growth we offer by acquiring and solving tasks.

2. Challenge - You reach beyond expectations and strive for innovative methods beyond the traditional.

3. Action - You are driven, take initiative, can execute decisions with agility and fulfill tasks to completion.

4. Collaboration - You are enthusiastic about teamwork while respecting the different backgrounds and experience of colleagues.

EEO Statement

LG Energy Solution Arizona, Inc. is an Equal Employment Opportunity Employer.