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3D Machine Learning Jobs in Pittsburgh, PA (NOW HIRING)

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA

$158K - $269K/yr

... machine learning features/models into production. - Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes. - Passion for ...

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA · On-site

$158K - $269K/yr

... machine learning features/models into production. - Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes. - Passion for ...

Bosch Group

AI Security Research Intern

Pittsburgh, PA · On-site

... 3D perception, and AI platform), energy technologies, internet technologies, circuit design ... Strong foundation and broad knowledge of Machine Learning algorithms and principles. * Programming ...

Skild AI

Lead Industrial Designer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Knowledge of rapid prototyping (3D printing, CNC machining). * Understanding of mechanical ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Pittsburgh, PA

3D Machine Learning information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

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

As of Sep 3, 2026, the average yearly pay for 3d machine learning in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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 Pittsburgh, PA?

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

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

The top searched job categories for 3D Machine Learning jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for 3D Machine Learning jobs?

Cities near Pittsburgh, PA with the most 3D Machine Learning job openings:

3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,341 per year, or $19.9 per hour.

Postdoctoral Research Associate - Xu lab

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 25 days ago

Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

35th of 628 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is looking for multiple postdoctoral research associates in the Xu lab at the School of Computer Science. The role involves using cutting edge computer vision and machine learning tools for analyzing cryo-ET 3D image data, supporting ongoing research, managing sub-projects, and writing results for publication.
Responsibilities:
• using cutting edge computer vision and machine learning tools for analyzing cryo-ET 3D image data
• support on-going research programs in the lab
• manage sub-projects
• write up results as journal papers
Qualifications:
Required:
• Doctorate degree in Computer Science, Electric Engineering, computational biology, or related fields.
• A good track of publication records in related areas.
• Excellent analytical and oral/written communication skills.
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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