ZipRecruiter

Log In

1

3D Machine Learning Jobs in Maryland (NOW HIRING)

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Design and implement deep learning models for 3D perception, including object detection, semantic ... Solid understanding of machine learning, deep learning, and autonomous systems. Preferred Skills:

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 · 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.

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.

Xometry

Staff Software Engineer

North Bethesda, MD · Hybrid

We are looking for a Staff Software Engineer to join our core machine learning and data platform ... Multimodal data processing (e.g., combining text, image, and 3D data) * Experience with AWS ...

next page

Showing results 1-20

All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Maryland

3D Machine Learning information

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 Maryland?

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

What job categories do people searching 3D Machine Learning jobs in Maryland look for?

The top searched job categories for 3D Machine Learning jobs in Maryland are:

What cities in Maryland are hiring for 3D Machine Learning jobs?

Cities in Maryland with the most 3D Machine Learning job openings:

3D Machine Learning jobs near you

Machine Learning Engineer

Berlin, MD • On-site

PassFort
See more jobs at PassFortexternal

$79.93 - $137.02/hr

Other

Posted 20 days ago

Job description

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.

Key Responsibilities:
  • Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
  • Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.
  • Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.
  • Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
  • Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.
  • Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.
Required Qualifications:
  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Proficient in Python; strong experience with PyTorch.
  • Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
  • Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
  • Solid understanding of machine learning, deep learning, and autonomous systems.
Preferred Skills:
  • Experience with transformer-based perception architectures or VLA models.
  • Familiarity with BEV perception and multitask learning.
  • Experience with C++, ROS, and mmdetection.
  • Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
  • Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.
What We Offer:
  • Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
  • Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
  • Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
  • Tailor your own career path, whether you like to become technical specialist or technical team lead
  • Experience a great team culture, beverages, and an amazing office environment
Benefits:
  • Attractive compensation package and stock options.
  • Beverages on-site and regular social events.
  • Engage with top-tier researchers, engineers, and thought leaders.
  • Influence the future of robotic technologies and tackle significant technological challenges.
  • Assistance with relocation to Berlin.
About Us:

Heavy machinery, light years ahead.

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

We are proudly backed by Point Nine and other Tier 1 investors.

#J-18808-Ljbffr

Apply