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3D Machine Learning Jobs in Florida (NOW HIRING)

LSI

MACHINE OPERATOR I

Jacksonville, FL · On-site

$21.17 - $28.22/hr

... learning products, and comprehensive, dynamic technical publications. LSI employee-owners ... One (1) year of experience with Waterjet, 3D Printing, engraving machines, and associated software ...

Arthrex

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $124K/yr

... with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep ... 3D Geometry, Projection • Basic knowledge in robotics • Knowledge of CG libraries • Strong ...

ARTHREX

Computer Vision Engineer Sr I

Naples, FL

$105K - $123K/yr

Registering and blending 3D assets to camera stream * Explore sensor fusion and navigation ... with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep ...

Arthrex

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123K/yr

Registering and blending 3D assets to camera stream * Explore sensor fusion and navigation ... with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep ...

MediaLab 3D Solutions

Print Coordinator

Tampa, FL · On-site

$17 - $23/hr

... Capable of quickly learning new skills Ability to work independently with minimal direct ... Medialab3dSolutions.com NOTICE TO ALL APPLICANTS- MediaLab 3D Solutions participates in E-Verify.

MediaLab 3D Solutions

Print Coordinator

Tampa, FL · On-site

$18 - $20/hr

... Capable of quickly learning new skills Ability to work independently with minimal direct ... Medialab3dSolutions.com NOTICE TO ALL APPLICANTS- MediaLab 3D Solutions participates in E-Verify.

MediaLab 3D Solutions

Print Coordinator

Tampa, FL · On-site

... Capable of quickly learning new skills Ability to work independently with minimal direct ... Medialab3dSolutions.com NOTICE TO ALL APPLICANTS- MediaLab 3D Solutions participates in E-Verify.

CAE

Software Engineer

Orlando, FL · On-site

Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)

Caeus

Software Engineer

Orlando, FL

Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)

CAE, Inc.

Software Engineer

Orlando, FL · On-site

Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)

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3D Machine Learning 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 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 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 Florida? For 3D Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Florida look for? The top searched job categories for 3D Machine Learning jobs in Florida are:
What cities in Florida are hiring for 3D Machine Learning jobs? Cities in Florida with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you

Part-Time Lecturer - Applied Machine Intelligence (Miami)

Northeastern University

Miami, FL • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Application will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate for this position is $1,569.00.

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