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3D Machine Learning Jobs in St Louis, MO (NOW HIRING)

Sinclair & Rush

Machinist

Arnold, MO · On-site

$18.25 - $24.75/hr

Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ... Community Involvement What You'll Do As Machine Tool Technician, you will: * CNC Operation ...

SINCLAIR & RUSH

Machinist

Arnold, MO

$18.25 - $24.75/hr

Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ... Community Involvement What You'll Do As Machine Tool Technician, you will: * CNC Operation ...

SINCLAIR & RUSH

Machinist

Arnold, MO · On-site

$18.25 - $24.75/hr

Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ... Community Involvement What You'll Do As Machine Tool Technician, you will: * CNC Operation ...

Sinclair & Rush

Machinist

Arnold, MO · On-site

$50K - $60K/yr

Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ... Community Involvement What You'll Do As Machine Tool Technician, you will: * CNC Operation ...

NCSL International

Field Engineer-Survey

Saint Louis, MO · On-site

$65 - $100/hr

... machine control calibrations & tech support, GIS, utility locating, and drone flight planning ... learning and career development. The Geomatics Field Engineer is responsible for ensuring the ...

ABB

Tool and Die Designer

Saint Louis, MO · On-site

Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ... Solid understanding of CNC machining, Wire EDM, grinding, tooling fabrication methods, and ...

ABB

Tool and Die Designer

Saint Louis, MO · On-site

Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ... Solid understanding of CNC machining, Wire EDM, grinding, tooling fabrication methods, and ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in St. Louis, MO

3D Machine Learning information

See St Louis, MO salary details

$24.8K

$41.4K

$85.6K

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

As of Aug 22, 2026, the average yearly pay for 3d machine learning in St. Louis, MO is $41,401.00, 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 St. Louis, MO?

For 3D Machine Learning jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in St. Louis, MO look for?

The top searched job categories for 3D Machine Learning jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for 3D Machine Learning jobs?

Cities near St. Louis, MO with the most 3D Machine Learning job openings:

3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Saint Louis, MO • Remote

$76K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience developing workflows or techniques to automate imagery, raster, and/or 3D data processing and exploitation activities
Experience with imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience developing remote sensing analytic techniques or tradecraft to solve scientific or operational intelligence problems
Experience developing and presenting findings to both technical and non-technical audiences via written reports and/or oral briefings
Experience collaborating across interdisciplinary teams to achieve operational and/or scientific objectives
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Experience researching and applying analytical techniques from published academic literature to operational remote sensing problems
Experience with software development or scripting (e.g., Matlab, Python, C++) to automate imagery, raster, and/or 3D data processing
Application of artificial intelligence, machine learning, computer vision, and/or automated feature extraction concepts to remote sensing data
Experience designing, operating, or calibrating satellite, airborne, or ground imaging systems and chemical analysis instruments
Experience with remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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