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3D Machine Learning Jobs in Florida (NOW HIRING)

Siemens Energy, Inc.

Computational Geometry Engineer

Orlando, FL · On-site

$104K - $122K/yr

  • Medical

  • Retirement

  • PTO

Applying machine learning and AI techniques to 3D CAE, simulation-driven design, and computational engineering workflows. Export Control Requirement: Due to applicable export control laws and ...

Weir Group

Master Pattern Maker

Belleview, FL

Skillfully select, cure, and laminate wood stocks, then use hand tools and precision machinery to ... Analyze complex engineering schematics and 3D CAD models daily to calculate precise dimensions ...

Weir

Master Pattern Maker

Belleview, FL

Skillfully select, cure, and laminate wood stocks, then use hand tools and precision machinery to ... Analyze complex engineering schematics and 3D CAD models daily to calculate precise dimensions ...

Qorvo, Inc.

Sr RF Design Engineer - Modules

Apopka, FL · On-site

Ability to create 3D circuit models using EM tools and run simulations on RF/Microwave structures ... Programming experience with Python and/or Matlab especially for Machine Learning highly desired.

YO AI Labs

SolidWorks Expert - Remote

Miami, FL · Remote

$40 - $130/hr

Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

New

Davis & Beyer DDS PA

EFDA or CDA - Advanced Clinical Focus

Venice, FL · On-site

$19 - $24.25/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Someone with a desire for continuous learning and professional growth. Our experienced team members ... We use 3D printers for patient appliances. We use X-Nav for implant placement and Tekscan for ...

Actalent

Mechanical Designer

Jacksonville, FL

$28 - $32/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and maintain 3D CAD models, assemblies, and detailed engineering drawings. * Prepare ... Experience with CNC machining, sheet metal design, steel fabrication, and welding standards is ...

Actalent

Mechanical Designer

Jacksonville, FL

$28 - $32/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and maintain 3D CAD models, assemblies, and detailed engineering drawings. * Prepare ... Experience with CNC machining, sheet metal design, steel fabrication, and welding standards is ...

SkyWater Technology Foundry, Inc.

Fab Operator

Kissimmee, FL · On-site

$16.62 - $24.92/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S. - based team means contributing to and learning about the commercialization of some of the most ... Operate assigned machines in a cleanroom environment. * Load and unload wafer production machines ...

Fabco-Air, Inc.

Design Engineer

Gainesville, FL · On-site

... Machinists, and customers. * Create and maintain accurate Bills of Materials (BOMs) to support ... Proficiency with SolidWorks 3D CAD software , including the creation of parts, assemblies, and ...

Aero Simulation, Inc.

MECHANICAL ENGINEER (MID)

Tampa, FL · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

... learning along the way. We strive to deliver exceptional quality, elevate client relationships, and ... Knowledge of welding, machining, sheet metal, composite, 3D printing, fastening, manufacturing ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Florida

3D Machine Learning information

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 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

Computational Geometry Engineer

Siemens Energy, Inc.

Orlando, FL • On-site

$104K - $122K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

114th of 489 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
Shape the Future of Turbomachinery Innovation. Join a team at the forefront of advanced engineering, where mathematics, computational physics, and optimization come together to redefine how complex turbomachinery components are designed. This is not traditional CAD engineering. It's an opportunity to build the next generation of geometry modeling methods, algorithms, and digital workflows that power breakthrough performance across multidisciplinary optimization environments.
If you're energized by solving difficult problems through equations, fields, and computational methods, and thrive at the intersection of applied mathematics, fluid dynamics, structural mechanics, and software-enabled engineering, we want to hear from you. Help pioneer the tools, methodologies, and innovations that will shape the future of turbomachinery design.
How You'll Make an Impact
  • Develop advanced computational geometry methods and algorithms for turbine component design, including blades, cooling channels, casings, lattice structures, and additive manufacturing applications.
  • Translate aerodynamic, thermal, and structural engineering requirements into robust mathematical and geometry-based design models.
  • Implement, validate, and optimize implicit CAD methodologies, creating reusable modules and best practices for scalable deployment.
  • Build and maintain integration frameworks linking computational geometry with optimization, manufacturing simulation, and CAE workflows.
  • Document, standardize, and transfer geometric modeling methods to engineering teams to drive adoption and long-term capability growth.
  • Partner closely with aerodynamics, design engineering, simulation, and additive manufacturing teams to advance computational geometry capabilities and support product development initiatives.
  • Continuously improve design workflows by developing generalizable, efficient, and reusable computational geometry solutions.
What You Bring
  • Master's degree in Mathematics, Applied Mathematics, Physics, or a related field required; PhD preferred, with strong computational physics expertise in fluid dynamics, heat transfer, structural mechanics, or similar domains.
  • 3-8+ years' (or relevant PhD research) in computational geometry, generative design, or related fields, combined with a highly motivated, self-directed mindset and exceptional communication and collaboration skills. Candidates with more years of experience may be considered at a higher level.
  • Differential geometry, linear algebra, numerical methods, computational geometry, and mathematical modeling for engineering applications.
  • Programming skills in Python and C++ (or another compiled language), with experience developing mathematical and geometric modeling solutions.
  • Hands-on Git/GitLab, Linux environments, and modern engineering software development practices.
  • Implicit geometry modeling, signed distance fields, lattice topology, and geometry design platforms such as nTop, or the ability to rapidly learn them.
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
Preferred:
  • Advanced Degree in Mathematics, Applied Mathematics, Computer Science, or a related field, paired with exceptional analytical thinking and abstract mathematical problem-solving skills.
  • Developing implicit geometry, field-based design, and parametric modeling solutions for complex engineering applications.
  • Computational physics, including CFD, fluid dynamics, structural analysis, and mechanics.
  • Working in high-performance computing (HPC) environments to solve large-scale computational challenges.
  • Developing APIs, automation frameworks, and scalable toolchains that accelerate engineering workflows.
  • Applying machine learning and AI techniques to 3D CAE, simulation-driven design, and computational engineering workflows.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. Citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards/Benefits
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
#TeamPurple #ELECTRON
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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