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3D Machine Learning Jobs in Nevada (NOW HIRING)

Sunshine Minting

Mechatronics Engineer

Henderson, NV · On-site

Develop schematics, technical drawings, and 3D models for mechatronic systems. * Collaborate with ... Knowledge of the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI ...

Sunshine Minting

Mechatronics Engineer

Henderson, NV

Develop schematics, technical drawings, and 3D models for mechatronic systems. * Collaborate with ... Knowledge of the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI ...

Amperesand

Senior Manufacturing Engineer

Reno, NV

$90K - $124K/yr

... machine and process architecture. This role presents a unique opportunity to influence product ... It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply ...

Panasonic

Mechanical Engineer II

Sparks, NV · On-site

... machine design, and/or industrial automation. * Strong design and drafting skills in 3D CAD, ... to complete online learning requirements for -specific competencies, access online forms and ...

Bluberi

Sr. Game Software Developer

Las Vegas, NV · On-site

Shows dedication to continuous learning and contributes to improving the studio and organization ... based slot machines. The studio is part of Bluberi's R&D department, which includes other ...

All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Nevada

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 are popular job titles related to 3D Machine Learning jobs in Nevada? For 3D Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Nevada look for? The top searched job categories for 3D Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for 3D Machine Learning jobs? Cities in Nevada with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Nevada as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Mechanical Engineer - Battery Sorting, Energy Storage

Mechanical Engineer - Battery Sorting, Energy Storage

Redwood Materials

Mccarran, NV

Other

Posted 12 days ago

Job description

Mechanical Engineer - Battery Sorting, Energy Storage

Do you want to design and build the automated systems that make battery recycling possible at scale? Join the Battery Sorting team at Redwood Materials, where we are building a world-class, state-of-the-art, ML-enabled sorting platform that integrates conveyors, diverter mechanisms, computer vision, and operator-assist systems to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors.

Our team partners closely with Controls, Software, and Production Engineering to solve tightly coupled electromechanical and AI-driven challenges as we scale the infrastructure driving the circular battery economy. By increasing the reach of recycled and sustainable materials, we are transforming the global battery supply chain.

As a Mechanical Engineer on the Sorting team, you'll work alongside a world-class, cross-functional group of engineers to design, fabricate, integrate, and sustain production sorting equipment. We're looking for hands-on problem solvers who are energized by rapid iteration, people who can move fluidly between CAD, the shop floor, and the production line to keep hardware performing.

If you're ready to make a tangible impact on the future of sustainable manufacturing, we want to hear from you.

Responsibilities:

  • Design, prototype, and implement mechanical assemblies for sorting line subsystems including infeed, outfeed, conveyors, diverters, and guarding
  • Collaborate with production engineering to troubleshoot and improve existing sorting equipment and processes to maximize throughput and uptime
  • Apply engineering fundamentals (structural sizing, mechanism design, tolerance analysis) to deliver robust hardware solutions
  • Create detailed models and engineering drawings in SolidWorks for custom fixtures, brackets, enclosures, and conveyor components
  • Support machine activation alongside the controls engineering team; participate in development testing and validation runs with production engineering
  • Assist with integration of sensors, cameras, and actuators into mechanical assemblies, ensuring hardware interfaces support the ML-based classification and computer vision pipeline
  • Contribute novel mechanical concepts and designs with the potential to generate intellectual property and patents

Basic Qualifications:

  • Bachelor's degree in Mechanical Engineering or a related engineering discipline
  • Experience using a CAD software design package (e.g., SolidWorks, NX, CATIA, or ProE)
  • Internship, co-op, or up to 2 years of professional experience in mechanical design (new graduates welcome)

Preferred Skills and Experience:

  • Hands-on fabrication or prototyping experience (3D printing, sheet metal, welded structures, manual machining)
  • Exposure to conveyor systems, material handling equipment, or automated sorting/packaging machinery
  • Familiarity with sensor and actuator integration (encoders, servos, pneumatics, proximity sensors, cameras)
  • Interest in or exposure to machine learning, computer vision, or AI-enabled manufacturing systems
  • Understanding and application of GD&T
  • Experience working in or adjacent to a production or manufacturing environment
  • Comfort with engineering hand calculations and basic FEA
  • Ability to prioritize and execute tasks in a fast-paced, dynamic environment
  • Strong collaboration skills, including daily interactions with engineers, maintenance technicians, suppliers, and leadership

Additional Requirements

  • Work schedule may vary depending on site operational needs, and flexibility is required
  • Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
  • Must be able to lift and carry up to 50 lbs. as needed

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