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3D Data Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

WSP

Civil 3D Specialist, Rail & Transit

Portland, OR · On-site

$89K - $118K/yr

Civil 3D Specialist Shape the future of digital design and infrastructure delivery. As a Civil 3D ... Govern and optimize Data Shortcuts (DRef), including folder structures, naming conventions, and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Knowmadics

Data Scientist

Wichita, KS · On-site

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data

DroneDeploy

Senior Software Engineer, 3D (USA)

Manhattan, NY · Remote

$135K - $178K/yr

Team Overview DroneDeploy's 3D team builds the browser‐based 3D viewer that unifies drones, ground capture, LiDAR, and BIM data into intuitive digital twins. You'll work with a small, senior ...

Knowmadics

Data Scientist

Wichita, KS · On-site

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data

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3D Data information

What are the key skills and qualifications needed to thrive as a 3D Data Specialist, and why are they important?

To thrive as a 3D Data Specialist, you need strong spatial reasoning, proficiency in 3D modeling concepts, and a background in computer science, engineering, or a related field. Familiarity with tools like Autodesk Maya, Blender, CAD software, and experience with 3D data formats and GIS systems are typically required. Attention to detail, problem-solving abilities, and effective communication help professionals excel in collaborating with multidisciplinary teams and managing complex datasets. These skills and qualities are crucial for producing accurate 3D representations and supporting decision-making in industries such as architecture, gaming, and geospatial analysis.

What are some typical challenges faced by professionals working with 3D data, and how can they be addressed?

Professionals working with 3D data often encounter challenges such as managing large file sizes, ensuring data accuracy, and integrating data from multiple sources. Effective collaboration with cross-functional teams—such as software engineers, designers, and data analysts—is key to overcoming these hurdles. Utilizing efficient data processing pipelines and staying updated on the latest 3D modeling tools can help manage complexity and improve workflow. Proactive communication and continuous learning are essential for adapting to evolving project requirements and technologies.

What is 3D data?

3D data refers to information that describes the shape, structure, and appearance of objects in three-dimensional space. This data is often captured through technologies like 3D scanning, photogrammetry, or computer-generated modeling, and it is commonly used in industries such as gaming, animation, engineering, and healthcare. 3D data can include coordinates, textures, colors, and other attributes that help create realistic digital representations of physical objects. Managing and analyzing 3D data requires specialized software and expertise.

What is the difference between 3D Data vs 3D Modeler?

Aspect3D Data3D Modeler
Required skillsData collection, processing, and management of 3D datasetsCreating, designing, and modeling 3D objects and environments
Work environmentData labs, scanning sites, software for data processingDesign studios, animation, gaming, and film production
Common toolsLiDAR, photogrammetry software, CAD for data handlingBlender, Maya, 3ds Max for modeling and rendering
Industry usageGeospatial, surveying, virtual reality, simulationEntertainment, gaming, product design, architecture

While 3D Data involves collecting and managing raw 3D information, 3D Modelers focus on creating visual 3D models for various media. Both roles require technical skills but serve different stages of the 3D content pipeline.

More about 3D Data jobs
What job categories do people searching 3D Data jobs look for? The top searched job categories for 3D Data jobs are:
3D Data jobs near you
ML Engineer (Geometric Deep Learning & 3D Vision)

ML Engineer (Geometric Deep Learning & 3D Vision)

Grid Dynamics Holdings

Remote

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

We are seeking a Machine Learning Engineer to solve complex spatial alignment and validation challenges. You will build the infrastructure to close the gap between CAD designs and real-world 3D reconstructions. The core of this role involves automating the "Ground Truth" process-developing sophisticated metrics to validate how digital components interface with organic (human bodies) or unstructured 3D environments.
Essential functions
  • 3D Registration & Alignment: Develop pipelines to align 3D meshes (photogrammetry) with CAD models using high-precision spatial transforms.
  • Agentic Pipeline Orchestration: Build autonomous agents to manage the "whole flow"-from data ingestion and scale correction (mm vs. meters) to final metric validation.
  • Data Integrity & Remediation: Architect automated systems to detect and correct common data pipeline failures, such as coordinate system mismatches, scale discrepancies (mm vs. meters), and metadata mislabeling.
  • Closed-Loop Validation: Integrate alignment metrics directly into the ML inference flow, ensuring the model provides a confidence score or "alignment success" rating post-run.
  • Spatial Feature Extraction: Extract actionable insights from the "whole flow" of provided data to optimize placement and interaction between objects.

Qualifications
3D & Computer Vision
  • Geometric Deep Learning: Proficiency with Open3D, PyTorch3D, or Trimesh for mesh processing and point cloud registration.
  • Spatial Transforms: Deep understanding of Euclidean geometry, 3D coordinate systems, and photogrammetry workflows.

LLMs & Agentic Systems
  • Agentic Frameworks: Experience building autonomous workflows using LangChain, LangGraph, AutoGPT, or CrewAI.
  • Model Integration: Proficiency in prompt engineering and fine-tuning LLMs (OpenAI API, Anthropic, or local models via Ollama/vLLM) for structured data extraction and pipeline decision-making.
  • Vector Databases: Experience with Pinecone, Milvus, or Weaviate for managing spatial embeddings and metadata.

Data Pipelines & DevOps
  • Orchestration Tools: Expertise in building and monitoring pipelines using Dagster, Prefect, or Apache Airflow.
  • Data Validation: Experience with Great Expectations or Pydantic to ensure data integrity across the "whole flow."
  • Cloud Infrastructure: Familiarity with deploying ML workloads on AWS, GCP, or Azure using Docker and Kubernetes.
  • Experience building "Human-in-the-loop" systems where LLMs handle the edge cases of 3D data processing.
  • Background in Computational Geometry combined with modern LLM-Ops.
  • A proven track record of automating complex, multi-step engineering workflows.
  • Strong programming skills in Python is a must.
  • Bachelor's/Master's degree in Computer Science/ Engineering or a related field.

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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