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3D Machine Learning Jobs in Virginia (NOW HIRING)

Develop and implement machine learning algorithms to improve detection and classification of ... Perform in-depth analysis of geophysical data using physics-based models, inversion theory, and 3D ...

Develop and implement machine learning algorithms to improve detection and classification of ... Perform in-depth analysis of geophysical data using physics-based models, inversion theory, and 3D ...

Artificial Intelligence and Machine Learning in the EAP and EUR regions, where R&D activities ... Nanomaterials, additive manufacturing (3D printing), composites, rare earth elements, advanced ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Design hardware products using 3D CAD modeling tools * Electro-optical design, layout and modeling ...

$132K - $165K/yr

... machine learning teams. You will bring a sharp commercial instinct and proactive ability to ... geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw ...

$132K - $165K/yr

... machine learning teams. You will bring a sharp commercial instinct and proactive ability to ... geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw ...

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

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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 cities in Virginia are hiring for 3D Machine Learning jobs? Cities in Virginia with the most 3D Machine Learning job openings:
Staff Geophysicist

Other

Posted 12 days ago


Job description

ENSCO is seeking a highly skilled and motivated Geophysicist to join our team. This individual will play a critical role in supporting projects related to geophysical data collection, analysis, and modeling, with a focus on applications in underground facility characterization, Weapons of Mass Destruction (WMD) threat analysis, and other national security initiatives.

At ENSCO, you will contribute to impactful projects that directly support national security and scientific advancement. Join a team of dedicated professionals who are passionate about solving complex challenges and delivering innovative solutions to the Department of Defense (DoD) and Intelligence Community (IC) missions.

Key Responsibilities

Geophysical Data Collection and Processing

  • Lead field surveys using techniques such as seismic reflection, refraction, ground-penetrating radar (GPR), electromagnetic surveys, and passive seismic methods.
  • Operate and maintain advanced geophysical equipment for data acquisition in complex environments.

Algorithm Development

  • Develop and implement machine learning algorithms to improve detection and classification of subsurface features and materials.
  • Apply advanced computational techniques to analyze seismic, acoustic, and electromagnetic sensor data.

Advanced Modeling and Analysis

  • Perform in-depth analysis of geophysical data using physics-based models, inversion theory, and 3D visualization tools.
  • Model subsurface processes to identify vulnerabilities in WMD facilities and underground infrastructure.

Technical Leadership

  • Design test plans and execute validation processes for geophysical models and algorithms.
  • Provide technical oversight for the integration of geophysical data into broader mission objectives.

Collaboration

  • Work closely with multidisciplinary teams, including software developers, engineers, and data scientists, to develop integrated solutions.
  • Support interagency and international collaboration on geophysical research and assessments.

Reporting and Documentation

  • Prepare detailed technical reports, presentations, and visualizations for stakeholders, including government and military clients.

Qualifications Required:

  • BS degree in a physical science or related discipline (e.g., Geophysics, Engineering, Physics, Mathematics, Computer Science) or equivalent experience
  • Minimum 7 years of relevant experience
  • Experience in data acquisition and test development
  • Advanced skills in digital signal processing, data processing, geophysical modeling, and interpretation
  • Hands-on experience in algorithm development and machine learning applications for geophysical data
  • Experience working with multiple sensor types and techniques including seismic, acoustic, acceleration, electromagnetic, and ground-penetrating radar (GPR) sensors
  • Experience analyzing large, multimodal datasets from a variety of sensors
  • Proficiency in scientific programming languages such as MATLAB, Python, R, or C/C++
  • Experience in developing test procedures and writing technical reports
  • Experience working in outdoor field environments and remote testing locations
  • Ability to document field activities, equipment status, and test procedures
  • Excellent time management and organizational skills
  • Ability to work effectively in dynamic team environments and achieve overall program objectives
  • Ability to lift and carry equipment weighing 50+ lbs.
  • Must be willing to travel (10-15%) and perform field work
  • Ability to work flexible hours when supporting field operations or testing activities
  • Strong analytical and problem-solving skills
  • Excellent oral and written communication skills
  • Must have a current SECRET security clearance with the ability to obtain and maintain TOP SECRET/SCI, for which you must be a U.S. citizen. You will not be considered for this position if you do not meet this requirement.

Qualifications Desired:

  • MS degree in Physical Science or related discipline (Geophysics, Geological Engineering, Physics, Mathematics, Computer Science) or equivalent
  • Experience supporting Department of Defense (DoD) or Intelligence Community (IC) projects
  • Experience in artificial intelligence, machine learning, and data analytics
  • Experience maintaining inventories, organizing equipment, and managing field logistics
  • Experience troubleshooting and repairing mechanical and electrical systems
  • Familiarity with sensors, data acquisition systems, cables, connectors, and instrumentation
  • Experience operating laboratory or shop equipment
  • Professional certifications or memberships (e.g., AGU, SEG)
  • Forklift certification or willingness to obtain certification
  • Experience operating laboratory or shop equipment
  • Active TS/SCI security clearance

Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Secret
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: No