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3D Machine Learning Jobs in Huntsville, AL (NOW HIRING)

Pae

Intern - GN&C Fall Graduate Intern

Huntsville, AL · On-site

$16.50 - $21.50/hr

Implementing machine learning algorithms for controls, modeling, system identification, or other ... Creating visualizations in 3D tools such as Terragen, STK, or Unreal Engine. Essential Functions ...

Amentum

Intern - GN&C Fall Graduate Intern

Huntsville, AL · On-site

$16.50 - $21.50/hr

Implementing machine learning algorithms for controls, modeling, system identification, or other ... Creating visualizations in 3D tools such as Terragen, STK, or Unreal Engine. Essential Functions ...

Anduril Industries

Research Scientist

Huntsville, AL · On-site

$165K - $218K/yr

... 3D command and control center. As the world enters an era of strategic competition, Anduril is ... Engineering: controls, estimation theory, digital signal processing, and machine learning;

Blue Origin, LLC

Propulsion Engineer II

Huntsville, AL · On-site

... learning and who foster a collaborative environment. Some components you could be responsible for include: valve components, pressurized fluid systems, rotating hardware, machining of 3D printed ...

New

Blue Origin

Propulsion Engineer II

Huntsville, AL

... learning and who foster a collaborative environment. Some components you could be responsible for include:valve components, pressurized fluid systems, rotating hardware, machining of 3D printed ...

New

All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Huntsville, AL

3D Machine Learning information

See Huntsville, AL salary details

$25.1K

$42K

$86.7K

How much do 3d machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for 3d machine learning in Huntsville, AL is $41,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

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 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 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 Huntsville, AL?

For 3D Machine Learning jobs in Huntsville, AL, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in Huntsville, AL look for?

The top searched job categories for 3D Machine Learning jobs in Huntsville, AL are:

What cities near Huntsville, AL are hiring for 3D Machine Learning jobs?

Cities near Huntsville, AL with the most 3D Machine Learning job openings:

3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,959 per year, or $20.2 per hour.

Computer Vision Engineer

Ingenix Technologies LLC

Huntsville, AL • On-site

$90 - $130/hr

Other

Posted 4 days ago

Job description

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Develop computer vision and spatial AI capabilities for defense training and simulation systems. You'll work on object detection, scene understanding, spatial registration, and model analysis to help software understand real or synthetic environments.

What you’ll do
  • Work with image, video, point cloud, mesh, RGB-D, LiDAR, or synthetic data depending on project needs
  • Train, evaluate, and refine machine learning models for perception and spatial understanding tasks
  • Build data processing pipelines for collecting, cleaning, labeling, and evaluating visual datasets
  • Integrate computer vision capabilities into simulation, XR, or training software systems
  • Communicate model performance, limitations, and technical tradeoffs to engineering teammates and stakeholders
What we’re looking for
  • Experience developing computer vision or machine learning solutions in Python
  • Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar tools
  • Understanding of object detection, segmentation, feature extraction, camera geometry, or 3D perception concepts
  • Ability to evaluate model performance and work through real-world data limitations
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with 3D object detection, scene understanding, point clouds, LiDAR, RGB-D, or mesh/model analysis
  • Experience with OpenCV, ROS, CUDA, synthetic data generation, or simulation-based datasets
  • Familiarity with XR, robotics, geospatial, digital twin, or defense training applications
  • Experience deploying models into production software or edge computing environments
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