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3D Machine Learning Jobs (NOW HIRING)

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

... 3D, and anything we could think of. Information retrieval is a critical part of this offering ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... 3D, and anything we could think of. Information retrieval is a critical part of this offering ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... You will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for ...

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... You will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... SLAM, 3D perception, or sensor fusion (LiDAR, IMU). * Real-time or low-latency inference pipelines.

Terra AI

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise ... Design, train, test, and iterate on diffusion models for 3D geological models * Design, train, test ...

Terra AI

Senior/Staff Machine Learning Researcher

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise ... Design, train, test, and iterate on diffusion models for 3D geological models * Design, train, test ...

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All Jobs3D Machine Learning Jobs

3D Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 17, 2026, the average yearly pay for 3d machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

More about 3D Machine Learning jobs
What cities are hiring for 3D Machine Learning jobs? Cities with the most 3D Machine Learning job openings:
What states have the most 3D Machine Learning jobs? States with the most job openings for 3D Machine Learning jobs include:
What job categories do people searching 3D Machine Learning jobs look for? The top searched job categories for 3D Machine Learning jobs are:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Computer Vision & Machine Learning Engineer

Computer Vision & Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

$130K - $154K/yr

Full-time

Re-posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something!
We are a team of computer vision and machine learning engineers building real-time perception systems, motion synthesis, and human understanding technologies for current and future Apple products. The VCV org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We are looking for engineers with expertise in deep learning-focused computer vision for human understanding, motion synthesis, visual recognition, biometric algorithms, and 3D perception systems.
In this role, you will help design, build, and ship core perception technologies, motion synthesis systems, and human understanding algorithms used by millions of users across Apple's ecosystem.
Description
You will work on cutting-edge computer vision and machine learning problems, developing algorithms and systems that enable natural human-computer interaction. This includes human perception, motion synthesis, biometric recognition, 3D vision, and performance-critical real-time systems.
You will be responsible for developing and optimizing computer vision and machine learning algorithms for human understanding, including pose estimation, gesture recognition, facial analysis, and behavioral modeling. You will build motion synthesis systems and algorithms for realistic human motion generation and animation, design and implement biometric algorithms for secure authentication and identification systems, and create real-time 3D perception and tracking systems for spatial computing and AR/VR applications. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.
Minimum Qualifications
Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field
Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.)
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX
Experience with rapid prototyping, reproduction, and validation of research ideas
Strong mathematical foundations in machine learning, computer vision, or related fields
Experience with foundation model architectures and training methodologies
Experience working effectively in a multi-functional, collaborative environment
Preferred Qualifications
PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field
Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc), or a strong track record of applying deep learning techniques to real-world products
Experience with foundation models (language or multimodal) including training, fine-tuning, and deployment
Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning
Experience with multimodal pretraining, vision-language models, video-language models, and multimodal alignment
Experience with large-scale distributed training and model parallelism
Strong communication skills and ability to present research findings to both technical and non-technical audiences

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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