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3D Machine Learning Jobs in Columbia, MD (NOW HIRING)

Xometry

Senior Principal, ML/AI

North Bethesda, MD · On-site

$125K - $173K/yr

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

Xometry

Senior Principal, ML/AI

North Bethesda, MD · On-site

$125K - $173K/yr

Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis) * 12+ years of ...

Quidient

Staff Deep Learning Engineer

Columbia, MD

$185K - $235K/yr

... 3D reconstruction quality. This is a hybrid position, meaning that you will need to live within ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... 3D reconstruction quality. This is a hybrid position, meaning that you will need to live within ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

Aitopics

Data Scientist

Mclean, VA · On-site

$140 - $209/hr

Apache Spark | Azure Machine Learning | Data Governance | Data Quality | Data Visualization ... 3D Reconstruction | C++ | Computer Vision | Deep learning | Diffusion Models * C++ | CPUs ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Columbia, MD

3D Machine Learning information

See Columbia, MD salary details

$25.3K

$42.3K

$87.3K

How much do 3d machine learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for 3d machine learning in Columbia, MD is $42,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,600.00 per year, depending on experience, location, and employer.

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 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 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 Columbia, MD?

For 3D Machine Learning jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in Columbia, MD look for?

The top searched job categories for 3D Machine Learning jobs in Columbia, MD are:

3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Columbia, MD as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,260 per year, or $20.3 per hour.

Director of Machine Learning & 3D Reconstruction

Columbia, MD • On-site

Quidient
Software Development • 11 - 50 employees
Learn more about Quidientexternal

$200K - $270K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering function within our Product Development group, driving quality improvements in our 3D scene reconstruction pipeline, while building and managing a high-performing team of engineers and applied scientists.
This is a leadership-first role. You will manage cross-functional workstreams across the Applications & API, Platform, and Advanced Product Development teams. You will translate technical tradeoffs into delivery decisions and contribute meaningfully to the codebase where your domain expertise drives the most value. You will ship production ML into a system already in customers' hands. This position is full-time, hybrid, and reports to Quidient's Director of Software Engineering.
What You'll Do
ML & Reconstruction Quality
  • Drive ML-driven quality improvements across the production 3D scene reconstruction pipeline, including panel geometry, background reconstruction, and output fidelity.
  • Own model selection, deployment, inference optimization, and operational ownership of ML systems in production.
  • Evaluate and apply traditional ML and applied deep learning techniques to improve reconstruction quality; understand when each approach is appropriate.
  • Review and contribute to the production codebase, evaluate tradeoffs, identify bottlenecks, and guide technical decisions.
Team Leadership & Cross-Functional Coordination
  • Build, manage, and grow a team of ML engineers and applied scientists within the Advanced Product Development team.
  • Drive cross-functional alignment across the Applications & API and Platform teams.
  • Partner with the APD technical leads and Director of Software Engineering to scope work, resolve technical blockers, and maintain delivery velocity.
  • Operate effectively in a fast-moving startup where priorities shift; maintain focus on the highest-impact work without losing team momentum.
What You Bring
Must-Have Qualifications:
  • Master's degree in Computer Science, Electrical Engineering, or a related field; PhD preferred. Bachelor's with exceptional experience considered.
  • 7+ years of experience in ML engineering or applied research, with at least 5+ years in a people management role overseeing engineers and/or applied scientists.
  • Strong production ML expertise: model selection, deployment, inference optimization, and operational ownership. Experience spans traditional ML and applied deep learning; Not a LLM-focused role.
  • Proven ability to review, direct, and contribute to a production codebase.
  • Experience driving cross-functional alignment across engineering, research, and product stakeholders in an ambiguous, fast-moving environment.
  • Heavy experience in 3D reconstruction, computer vision, or spatial computing domains (e.g., NeRF, 3D Gaussian Splatting, SLAM, SfM, or related techniques).
  • Willingness to work in a hybrid capacity from our Technology Center in Columbia, Maryland, or willing to relocate.
  • This position is not eligible for H-1B sponsorship.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Background in light transport, physically-based rendering, or GPU-accelerated compute.
  • Experience with pose estimation, SLAM, or multi-view reconstruction
  • Track record of shipping ML in production in a latency-sensitive or hardware-constrained environment.
  • Prior experience at a deep tech startup or in a defense/government-adjacent technology context.
  • Scientist or applied researcher who has successfully transitioned into an engineering leadership role.
What We Offer
Compensation:
  • Salary Range: $200,000 - $270,000.
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA Account
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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