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

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs ...

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

$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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Bernstein - Quantitative Research & Trading Intern - Fall 2026

Societe Generale

New York, NY

Full-time, Part-time, Internship

Re-posted 21 days ago

Job description

We are looking for a highly self-motivated, fast-learning intern to join our quantitative research and trading team. This role is ideal for candidates who can operate independently, quickly understand complex systems, and contribute to production-level projects.

You will work closely with a small, high-impact team building and supporting a global trading system spanning market data, execution algorithms, and analytics.

Key Responsibilities

  • Develop and enhance quantitative models for trading and execution
  • Analyze large-scale market data to extract actionable signals
  • Support algorithmic trading strategies (alpha, execution, microstructure)
  • Build tools for data analysis, simulation, and visualization
  • Collaborate with engineers on system integration (Python / Java / C )
  • Debug and improve production trading systems

Basic Qualifications

  • Strong self-drive and ability to work independently
  • Background in Mathematics, Statistics, Computer Science, or Engineering
  • Programming experience in at least one of: Python, C , or Java
  • Understanding of data structures, algorithms, probability, and statistics
  • Ability to read and understand complex existing codebases
  • Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns.  
  • Be available for full-time or part-time work the fall of 2026.

Preferred Qualifications

  • Experience with quantitative trading, financial markets, or time series modeling
  • Familiarity with machine learning techniques
  • Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
  • Exposure to Linux, distributed systems, or cross-language systems (e.g., Java C )

 Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

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