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3D Machine Learning Jobs in Virginia (NOW HIRING)

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

Data Engineer

Lynchburg, VA · On-site

$62K - $109K/yr

Develops standards for data structure and integrity to support machine learning objectives ... Also, may: * Employ visualization products including analytics, 3D simulation, and data models.

Develops standards for data structure and integrity to support machine learning objectives ... Also, may: * Employ visualization products including analytics, 3D simulation, and data models.

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

New

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

New

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

New

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

Mechanical Engineer I

Fort Belvoir, VA · On-site

$70K - $90K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Experience with 3D printing and manufacturing * Experience with transfer of designs to drawings and ...

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

Mechanical Engineer I

QinetiQ US

Fort Belvoir, VA • On-site

$70K - $90K/yr

Full-time

Posted 8 days ago


Job description

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.


As a QinetiQ US Mechanical Engineer, you will support the design, testing and demonstration of prototype EO/IR sensors, weapon systems and soldier equipment at our Ft. Belvoir, VA location. The selected candidate will be responsible for the following:


  • Design and analysis of mechanical components and assemblies for Ground Combat Platforms and EOIR sensor systems.
  • Select materials, structures, hardware suitable for application in the System.
  • Develop and conduct testing to validate engineering analysis models.
  • Convert vehicle operation envelop definition and customer requests into payload and component requirements
  • 3D CAD (SolidWorks) design and drafting of mechanical/electrical components and assemblies
  • Performing vendor research, selection, and interface.

  • Bachelor's degree in Mechanical or Aerospace engineering (or similar).
  • Understanding of the fundamental principles for performing mechanical design and analysis including structural, thermal, or vibration.
  • Familiarity with and ability to use and manipulate technical drawings in mechanical CAD tools such as SolidWorks, Catia, and Autodesk.
  • Ability to work across mechanical, aeronautical, astronautical, electrical, and materials engineering disciplines.
  • Excellent written and verbal communication and technical documentation skills.
  • Works well as a part of a team.
  • Good problem-solving skills.
  • Good interpersonal skills including a passionate and can-do attitude.
  • Strong problem-solving skills.
  • Able to work independently and as part of a team.
  • Must be able to obtain and maintain a DoD security clearance.

  • Basic machine shop and small part fabrication experience
  • Composite and/or Aluminum design and/or fabrication experience
  • Proficient with analysis tools including Ansys or Solidworks
  • Proficient with the computational solver software package MATLAB
  • 1-3 years aerospace or ground vehicle experience (dynamic systems)
  • Experience with 3D printing and manufacturing
  • Experience with transfer of designs to drawings and manufacturing

The salary range for this role is $70,000- $90,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.


Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.