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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 ...

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 ...

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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:
Mechanical Engineer II

Mechanical Engineer II

Axon

Scottsdale, AZ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Axon rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

15th of 139 rated electronics manufacturers


Job description

Your Impact

As a Mechanical Engineer II on Axon's New Ventures team, you will design, build, and iterate on mechanical systems that support early-stage exploration and small-batch hardware products. You'll apply strong mechanical engineering fundamentals and practical design-for-manufacturability judgment to rapidly prototype, test, and learn - helping the team assess feasibility, production risk, and real-world behavior of new product concepts.
This role is ideal for an engineer who enjoys hands-on work, thrives in ambiguity, and knows how to balance prototype speed with manufacturable design choices when a concept may move toward small-batch production.
You will help ensure that promising concepts are not only compelling as prototypes, but also grounded in realistic mechanical design, assembly, supplier, and manufacturing considerations.

What You'll Do

Location: This role may be based out of one of Axon's hub offices in Scottsdale, AZ or Seattle, WA, and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Senior Director of New Ventures
Direct Reports: None
You will:

  • Independently design and develop mechanical components, assemblies, fixtures, mechanisms, and enclosures for exploratory prototypes and small-batch hardware products.
  • Create CAD models, drawings, prototype files, and mechanical documentation that support both rapid iteration and clear handoff to fabrication or manufacturing partners.
  • Select materials, manufacturing methods, finishes, fastening strategies, and assembly approaches that balance speed, cost, durability, manufacturability, and learning goals.
  • Apply design-for-manufacturability and design-for-assembly principles early, especially for concepts that may transition from prototype to low-volume or small-batch production.
  • Build, assemble, test, and troubleshoot physical prototypes using hands-on fabrication methods and external prototype vendors when appropriate.
  • Collaborate with manufacturing, DFM, supply chain, electrical, software, industrial design, product, and applied research partners to identify production risks and practical design tradeoffs.
  • Identify and resolve mechanical design challenges at the component, subsystem, and assembly level with minimal supervision.
  • Support rapid Build-Measure-Learn cycles by prioritizing speed, learning, and clarity while avoiding design choices that create unnecessary manufacturing or assembly risk.
  • Contribute mechanical engineering input to feasibility assessments, early risk identification, cost and manufacturability tradeoffs, and potential transition paths into New Ventures Edge or other product teams.
  • Document design decisions, tolerance assumptions, material choices, supplier/vendor inputs, test results, prototype learnings, and open manufacturing risks to support team decision-making and future iterations.
What You Bring

You bring a blend of solid mechanical fundamentals, hands-on experience, and a collaborative mindset. You likely have:

  • A Bachelor's degree in Mechanical Engineering or a related field, or equivalent practical experience.
  • 3+ years of relevant experience in mechanical engineering, product design, prototyping, hardware development, or low-volume manufacturing.
  • Proficiency with CAD tools and experience creating parts, assemblies, drawings, tolerance-critical features, and prototype- or manufacturing-ready files.
  • Hands-on experience building, assembling, testing, and iterating mechanical prototypes.
  • Practical understanding of mechanical design fundamentals such as tolerances, material selection, fastening methods, mechanisms, structural considerations, thermal considerations, sealing, ruggedization, and assembly design.
  • Experience applying design-for-manufacturability and design-for-assembly principles to real hardware, ideally including parts or assemblies that moved from prototype toward low-volume or production manufacturing.
  • Familiarity with common manufacturing and prototyping processes such as 3D printing, CNC machining, sheet metal, casting, injection molding, elastomers, adhesives, coatings, off-the-shelf hardware, or vendor-built prototypes.
  • Ability to evaluate tradeoffs between prototype speed, manufacturability, part cost, tooling cost, assembly complexity, reliability, and product performance.
  • Comfort integrating mechanical designs with electronics, sensors, actuators, batteries, cameras, embedded systems, or other electromechanical components.
  • Comfort working in ambiguous, early-stage environments with evolving requirements.
  • A collaborative mindset aligned with Axon's values and mission to Protect Life.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Employee Resource Groups (ERGs)
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.


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