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3D Machine Learning Jobs in New York (NOW HIRING)

Thea Energy

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ... 3D magnetic geometries * Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid ...

Thea Energy

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ... 3D magnetic geometries * Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid ...

Neara

Principal Research Scientist - Risk

New York, NY · On-site

$180K - $220K/yr

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... The opportunity to work on a cutting-edge, 3D physics-enabled platform used to anticipate the ...

Neara

Forward Deployed Engineer - USA (NYC)

New York, NY · On-site

$130K - $200K/yr

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... The rare opportunity to work on a cutting-edge, 3D physics-enabled platform that is preventing ...

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3D Machine Learning information

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 New York?

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

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

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

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

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

3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Burning Plasma Scientist

Thea Energy

Kearny, NJ • On-site

$135K - $210K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

About Thea Energy:
Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.
Position Overview:
Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.
Key Responsibility Areas:
  • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries
  • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport
  • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles
  • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses
  • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaigns

Ideal Experience & Skillsets:
  • PhD in Plasma Physics, Computational Physics, or related field (or Master's / Bachelor's with equivalent research experience)
  • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB)
  • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups
  • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally
  • Passion for advancing the field of fusion energy research
  • Familiarity with kinetic, MHD or particle-following codes
  • Experience developing Machine Learning surrogates for physical systems
  • Familiarity with energetic particle diagnostics

Company Benefits:
  • Salary range $135,000-$210,000
  • Comprehensive health benefits (e.g. medical/dental/vision)
  • Employee equity stock options
  • 20 days PTO

It's not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy.
Diversity and Inclusion:
Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world's hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran's status, or other characteristic protected by applicable laws and regulations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About Thea Energy

Sourced by ZipRecruiter

Industry

Clean energy semiconductors manufacturing

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2022

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