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

Software Engineer

New York, NY · On-site

$85K - $125K/yr

... machine learning, and artificial intelligence. * Help translate research, algorithms, and prototypes into reliable software for real-world applications. * Contribute to projects in areas such as 3D ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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 New York?

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

Infographic showing various 3D Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Research Associate -- AI-Driven Reactive Robotics for Radioisotope Production

Brookhaven National Laboratory

Manhattan, NY • On-site

$72 - $85/hr

Other

Posted 5 days ago


Key responsibilities

  • Design and build a dual-system robotic architecture that includes a vision-language model for task planning and a reactive control system for fine-motor manipulation.

  • Develop the fast reactive control layer for fluid manipulation, including tasks such as pipetting and pouring, with real-time correction capabilities.

  • Build and validate a 3D perception stack for fluid-state estimation through transparent and reflective glassware before working with active materials.


Job description

## Postdoctoral Research Associate — AI-Driven Reactive Robotics for Radioisotope ProductionApplylocations: Upton, NYtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR102615The Isotope Research & Production (IP) program at Brookhaven National Laboratory has an opening for a postdoctoral researcher to develop an AI-driven robotic system for the chemical purification steps in radioisotope production. The scientific challenge is not “can a robot move a beaker,” which is largely solved, but the open problem underneath it: fast, reactive fine-motor manipulation of fluids, precision pipetting, and pouring that corrects in real time when liquid begins to slosh or spill; coupled to a frontier vision-language model that plans and supervises the multi-step workflow. The successful candidate will have wide latitude to shape the research direction and will publish contributions to reactive, generalizable robotic manipulation in unstructured laboratory environments.This position sits at the intersection of a mission-driven isotope-production program and frontier machine learning, and has a high level of interaction with an interdisciplinary scientific community spanning robotics, radiochemistry, and computing.**Essential Duties and Responsibilities:*** Design and build a dual-system robotic architecture: a frontier vision-language model for task planning, affordance reasoning, and anomaly/stop-gating, coupled to a fast learned controller for reactive fine-motor manipulation.* Develop the fast reactive control layer using an approach matched to your background (e.g. force-feedback MPC with a learned motion prior, latent world models, imitation/vision-language-action policies, or continuous-time neural control).* Build the 3D perception stack for fluid-state estimation (fill level, meniscus, vessel pose) through transparent, reflective glassware, using pretrained visual encoders.* Develop and validate on a cold bench (water and glassware) before any active material.* Publish results in peer-reviewed venues and present at conferences.**Required Knowledge, Skills, and Abilities:*** Ph.D. in mechanical engineering, electrical engineering, computer science, physics, mathematics, statistics/data science, or a closely related technical field* Backgrounds in robotics, controls, or machine learning are especially relevant.* Strong programming skills in Python and hands-on experience with modern ML frameworks (e.g. PyTorch).* Hands-on problem-solving skills and clear, concise written and verbal communication.* Demonstrated record of peer-reviewed publication.* Ability to work independently and drive an open-ended, high-risk/high-reward research agenda.**Preferred Knowledge, Skills, and Abilities:*** Experience in one or more of: robotic manipulation, reinforcement learning, imitation learning, world models, model-predictive/optimal control, or continuous-time dynamical systems.* Demonstrated record of peer-reviewed publication, ideally as a lead (first or primary) author.* Experience with collaborative robot arms (e.g. UFactory xArm) and force/torque sensing.* Experience with vision-language(-action) models, diffusion/flow-matching policies, or JEPA-style latent representations.* Familiarity with 3D vision and pretrained visual encoders (e.g. DINOv2, V-JEPA).* Interest in or exposure to laboratory automation, chemistry workflows, or radiochemistry.* Track record of conference presentation.**Environmental, Health & Safety Requirements:**Work is performed initially on a non-radioactive cold bench (water and glassware). Work with active material is a later project phase and would require applicable radiological worker training and adherence to BNL radiological control and laboratory safety procedures.**Other Information:*** This position is located at BNL in Upton, New York.* Initial 2-year term appointment subject to renewal contingent on performance and funding.* BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.* Candidates must have completed all degree requirements by the commencement of the employment.* Please submit a cover letter and CV (including a list of publications).Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $71900 - $85000 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. #J-18808-Ljbffr