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3D Machine Learning Jobs in Conroe, TX (NOW HIRING)

Sparx Engineering

Mechanical Design Engineer

Houston, TX · On-site

$72K - $98K/yr

... learning, and technical excellence. KEY RESPONSIBILITIES * Develop detailed mechanical designs using SOLIDWORKS * Design components for 3D printing, CNC machining, and injection molding * Create ...

Sparx Engineering

Mechanical Design Engineer

Houston, TX · On-site

$72K - $98K/yr

... learning, and technical excellence. KEY RESPONSIBILITIES * Develop detailed mechanical designs using SOLIDWORKS * Design components for 3D printing, CNC machining, and injection molding * Create ...

Sparx Engineering

Mechanical Design Engineer

Houston, TX

$72K - $98K/yr

... learning, and technical excellence. KEY RESPONSIBILITIES * Develop detailed mechanical designs using SOLIDWORKS * Design components for 3D printing, CNC machining, and injection molding * Create ...

Raytheon

Additive Manufacturing Shop Lead

Houston, TX · On-site

$42K - $54K/yr

... 3D printing and post-processing. The position includes preparing and finishing printed parts ... Ensure that machines are operating in an efficient manner, downtime is minimized, bulk material ...

HCC

Maker Space Technician (Part-time) Staff Pool

Houston, TX · On-site

$15.75 - $20.50/hr

... learning opportunities. The Team Play a central role at HCC as you keep our everyday operations ... machines including laser cutting systems, 3D printers, CNC routers, plasma cutters, vinyl cutters ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Conroe, TX

3D Machine Learning information

See Conroe, TX salary details

$21.8K

$36.5K

$75.3K

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

As of Jun 28, 2026, the average yearly pay for 3d machine learning in Conroe, TX is $36,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,400.00 per year, depending on experience, location, and employer.

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 Conroe, TX? For 3D Machine Learning jobs in Conroe, TX, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Conroe, TX look for? The top searched job categories for 3D Machine Learning jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for 3D Machine Learning jobs? Cities near Conroe, TX with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Conroe, TX as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $36,457 per year, or $17.5 per hour.
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 11 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 541 rated colleges and universities

Job description

Baylor College of Medicine and Department Summary:

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.

Job Duties

VITAL Lab Development & Leadership

  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

________________________________________

AI & Data Platform Development

  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

________________________________________

Research & Academic Contributions

  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

________________________________________

Clinical & Translational Collaboration

  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

________________________________________

Education & Mentorship

  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:

  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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