Machine Learning Engineer
New York, NY · On-site
Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams ... Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods ...
Machine Learning Engineer
New York, NY · On-site
Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams ... Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods ...
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content ... We're looking for a Machine Learning Engineer to join our Generative ML team! What you'll do:
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content ... We're looking for a Machine Learning Engineer to join our Generative ML team! What you'll do:
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content ... We're looking for a Machine Learning Engineer to join our Generative ML team! What you'll do:
From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content ... We're looking for a Machine Learning Engineer to join our Generative ML team! What you'll do:
Machine Learning Engineer, Next-Generation Recommendation Systems
New York, NY · On-site +1
$127K - $191K/yr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Machine Learning Engineer, Next-Generation Recommendation Systems
New York, NY · On-site +1
$127K - $191K/yr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Machine Learning Engineer, Next-Generation Recommendation Systems
New York, NY · On-site
$127K - $191K/yr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Machine Learning Engineer, Next-Generation Recommendation Systems
New York, NY · On-site
$127K - $191K/yr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Manhattan, NY · On-site
$112.70 - $169.10/hr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... in 3D -- closing the gap between ideas and reality. For more information, please visit www.unity ...
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Manhattan, NY · On-site
$112.70 - $169.10/hr
The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads ... in 3D -- closing the gap between ideas and reality. For more information, please visit www.unity ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D ...
Principal Machine Learning Engineer, Content Engineering
Manhattan, NY · On-site
$233K - $350K/yr
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D ...
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D ...
Principal Machine Learning Engineer, Content Engineering (45445) Overview: We are seeking a Senior ... Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D ...
Senior Machine Learning Engineer
New York, NY · On-site
$114K - $157K/yr
Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ... 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries ...
Senior Machine Learning Engineer
New York, NY · On-site
$114K - $157K/yr
Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ... 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries ...
... 3D genomebiology. Our research integrates Oxford Nanopore (nano-NOMe-seq) and PacBio long-read sequencing withHi-C/Hi-ChIP, single-cell multi-omics, and machine-learning approaches to investigate ...
... 3D genomebiology. Our research integrates Oxford Nanopore (nano-NOMe-seq) and PacBio long-read sequencing withHi-C/Hi-ChIP, single-cell multi-omics, and machine-learning approaches to investigate ...
Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist
New York, NY · On-site
... 3D genomebiology. Our research integrates Oxford Nanopore (nano-NOMe-seq) and PacBio long-read sequencing withHi-C/Hi-ChIP, single-cell multi-omics, and machine-learning approaches to investigate ...
Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist
New York, NY · On-site
... 3D genomebiology. Our research integrates Oxford Nanopore (nano-NOMe-seq) and PacBio long-read sequencing withHi-C/Hi-ChIP, single-cell multi-omics, and machine-learning approaches to investigate ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Quick apply
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... 3D content for our customers. * Code Management: Use Git to manage source code and modularize ...
Computer Vision Engineer
New York, NY · On-site
$122K - $143K/yr
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.
Computer Vision Engineer
New York, NY · On-site
$122K - $143K/yr
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.
Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist
New York, NY · On-site
... 3D epigenomics analyses. The position focuses on developing pipelines and machine-learning models for Oxford Nanopore and PacBio long-read data (nano-NOMe-seq) and integrating these with Hi-C/Hi-CHIP ...
Senior Computational Biologist / Non-Tenure-Track Assistant Professor / Faculty Research Scientist
New York, NY · On-site
... 3D epigenomics analyses. The position focuses on developing pipelines and machine-learning models for Oxford Nanopore and PacBio long-read data (nano-NOMe-seq) and integrating these with Hi-C/Hi-CHIP ...
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...
... 3D epigenomics analyses. The position focuses on developing pipelines and machine-learning models for Oxford Nanopore and PacBio long-read data (nano-NOMe-seq) and integrating these with Hi-C/Hi-CHIP ...
... 3D epigenomics analyses. The position focuses on developing pipelines and machine-learning models for Oxford Nanopore and PacBio long-read data (nano-NOMe-seq) and integrating these with Hi-C/Hi-CHIP ...
LLM Researchers and Engineers
Manhattan, NY · On-site
$450K - $1M/yr
Work directly with machine learning researchers, software engineers, and domain experts to integrate non-text modalities (e.g., Molecular Graphs, 3D Structures, Time Series) into multimodal models.
New
LLM Researchers and Engineers
Manhattan, NY · On-site
$450K - $1M/yr
Work directly with machine learning researchers, software engineers, and domain experts to integrate non-text modalities (e.g., Molecular Graphs, 3D Structures, Time Series) into multimodal models.
New
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
New York, NY · On-site
$164K - $259K/yr
Experience with 3D geometric deep learning. * Machine learning researcher with professional experience (post-degree) in an industry setting. * Demonstrated research impact through conference talks or ...
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
New York, NY · On-site
$164K - $259K/yr
Experience with 3D geometric deep learning. * Machine learning researcher with professional experience (post-degree) in an industry setting. * Demonstrated research impact through conference talks or ...
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?
| Aspect | 3D Machine Learning | 3D Computer Vision |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degree in Computer Vision, Computer Science, or related fields; experience with image processing |
| Work Environment | Research labs, AI development teams, tech companies | Imaging labs, robotics, autonomous vehicles, tech firms |
| Industry Usage | Developing models for 3D data analysis, sensor data integration | Processing 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:
Full-time
Retirement, PTO
Re-posted 17 days ago
Job description
About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
Who We're Looking For
As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
You've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
This Role
As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.
What you will do
You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
What you bring to the table
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary range:
$150,000 - $190,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
Who We're Looking For
As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
You've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
This Role
As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.
What you will do
- Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving
- Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
- Explore and manipulate 3D point cloud & mesh data
- Own the delivery of technical workstreams
- Create analytics environments and resources in the cloud or on premise, spanning data engineering and science
- Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success
- Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products
- Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption
You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
What you bring to the table
- Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.
- Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged.
- A track record of scoping and delivering projects in a customer facing role
- 2+ years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
- Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow)
- Distributed computing frameworks (e.g., Spark, Dask)
- Cloud platforms (e.g., AWS, Azure, GCP) and HP computing
- Containerization and orchestration (Docker, Kubernetes)
- Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
- Excellent collaboration and communication skills - with teams and customers alike
- A background in Physics, Engineering, or equivalent
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary range:
$150,000 - $190,000 depending on experience
Seniority will be assessed throughout our interview process
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.