ZipRecruiter

Log In

1

3D Machine Learning Jobs in Florida (NOW HIRING)

University of Miami

Post Doctoral Associate

Miami, FL · On-site

$46K - $63K/yr

Develop and apply AI and machine learning methods to derive more generalized and predictive models ... Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other ...

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

$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

$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.

next page

Showing results 1-20

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

Technical Portfolio Lead - 3D AI Innovation

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Posted 4 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 488 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As a Technical Portfolio Lead for the 3D AI Engineering Center of Excellence (CoE), you will lead the delivery of next-generation AI and 3D machine learning initiatives for large-scale industrial technologies. You will align strategy and execution across programs and projects, coordinate multidisciplinary teams, and guide decisions with a strong engineering perspective. You'll shape the future of 3D AI engineering by translating portfolio priorities into actionable roadmaps, driving stakeholder alignment, and ensuring outcomes are delivered on time, within budget, and with measurable business impact.
How You'll Make an Impact
  • Lead the end-to-end delivery of complex AI/ML engineering programs, system integrations, and digital engineering initiatives within the 3D AI Engineering Center of Excellence.
  • Own portfolio governance, including roadmap execution, milestone tracking, resource planning, budget management, KPI reporting, and executive-level portfolio health reviews.
  • Partner with senior business leaders and technical teams to translate strategic objectives into actionable engineering requirements and delivery plans.
  • Drive cross-functional alignment across business, engineering, and IT organizations while managing stakeholder expectations and organizational priorities.
  • Champion agile delivery practices, optimizing sprint planning, backlog management, and continuous improvement processes to maximize team performance.
  • Proactively manage risks, dependencies, change initiatives, and the adoption of AI-driven design, simulation, surrogate modeling, and digital engineering capabilities.
What You Bring
  • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field required; Master's or PhD preferred.
  • Proven success leading technical projects and program portfolios in a professional or educational research engineering or technology environment.
  • Typically, 3-8+ years of engineering experience (or relevant PhD experience) with the ability to understand complex technical topics, evaluate system architectures, and collaborate effectively with AI/ML development teams. Equivalent combinations of education and experience may be considered.
  • Candidates with more years of experience may be considered at a higher level.
  • Strong communication, interpersonal, analytical, and problem-solving skills, with a proven ability to translate complex technical concepts into clear business insights, drive data-driven decision-making, and lead continuous process improvements.
  • Highly adaptable and resilient professional with exceptional negotiation and conflict-resolution skills, proven in navigating ambiguity, leading through rapid change, and building alignment across diverse stakeholders with competing priorities.
  • 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:
  • Gas or aero turbine industry
  • Project Management Professional (PMP) certification or equivalent project management certification like Agile certifications (agile practitioner, scrum master, or product owner).
  • Product or software development lifecycle (PDLC/ SDLC), from initial research and development through deployment and operational maintenance.
  • Stakeholder management, with the ability to influence cross-functional peers, technical leads, and executive-level leadership.
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.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. Click here to read more .

What Siemens Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply