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3D Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Machinist 3

Durham, NC

$21 - $28.75/hr

Document machining data and collaboration with Engineering and Quality. * 3D Printing experience, a ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Machinist 3

Durham, NC · On-site

$21 - $28.75/hr

Document machining data and collaboration with Engineering and Quality. * 3D Printing experience, a ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Machinist 3

Durham, NC · On-site

$21 - $28.75/hr

Document machining data and collaboration with Engineering and Quality. * 3D Printing experience, a ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Machinist 3

Durham, NC · On-site

$21 - $28.75/hr

Document machining data and collaboration with Engineering and Quality. * 3D Printing experience, a ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

... 3D printing laboratories in the country. The newly established Bezos Center for Alternative ... including machine learning and artificial intelligence. Candidates should demonstrate a ...

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ... Advanced experience with cross-platform Game Engines such as Unity 3D, Unreal or similar * Strong ...

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Showing results 1-20

3D Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Jun 20, 2026, the average yearly pay for 3d machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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.

What are popular job titles related to 3D Machine Learning jobs in Raleigh, NC? For 3D Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for 3D Machine Learning jobs? Cities near Raleigh, NC with the most 3D Machine Learning job openings:
Infographic showing various 3D Machine Learning job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 89% Full Time, 3% Part Time, 3% Contract, and 3% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.
Machine Learning Engineer, Discovery Recommendations

Machine Learning Engineer, Discovery Recommendations

Epic Games

Cary, NC

$99K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ANALYTICS What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. 

You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.

Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.

In this role, you will
  • Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery
  • Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog
  • Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment
  • Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics
  • Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures
What we're looking for
  • 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context
  • Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)
  • Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems
  • Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
  • Comfort working in a cloud-based ML environment
  • Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation
  • Experience with content understanding models (NLP, vision, or generative AI) used as ranking features
  • Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
  • Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
  • Passion for video games and/or experience with gaming analytics
EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

ABOUT US

Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.