CrawlJobs Logo
Meshy LLC Logo Meshy LLC · IT - Software Development

Generative AI - 3D Foundation Model

China, Shanghai · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

As a core member of the team of research scientists and machine learning engineers at Meshy, you will drive the development of our core 3D-native generative foundational model. In this role, you will join our foundational research to advance 3D AI, apply learnings from other fields of ML, and pushing the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.

Job Responsibility

  • Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning
  • Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation
  • Create novel model architectures to make 3D generation faster, higher-quality, and more controllable
  • Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments
  • Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team
  • Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI

Requirements

  • Strong engineering skills in Python and deep learning frameworks (preferably PyTorch)
  • comfortable moving between research prototypes and production systems
  • Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.)
  • Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds

Nice to have

  • Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus
  • Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus
Meshy LLC - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Generative AI - 3D Foundation Model

8 matching positions

Generative AI - 3D Foundation Model

As a core member of the team of research scientists and machine learning enginee...
Location
Location
United States , Sunnyvale
Salary
Salary:
Not provided
meshy.ai Logo
Meshy LLC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong engineering skills in Python and deep learning frameworks (preferably PyTorch)
  • comfortable moving between research prototypes and production systems
  • Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.)
  • Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds
  • Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus
  • Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus
Job Responsibility
Job Responsibility
  • Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning
  • Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation
  • Create novel model architectures to make 3D generation faster, higher-quality, and more controllable
  • Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments
  • Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team
  • Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI
  • Fulltime
Read More
Arrow Right

Research Scientist Intern, Large Foundation Models and Generative AI

The Meta Reality Labs Research Team is composed of world-class researchers, deve...
Location
Location
United States , Redmond
Salary
Salary:
7650.00 - 12134.00 USD / Month
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, machine learning, robotics, and computer graphics
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Knowledge and hands-on experience on 3D computer vision
  • Hands-on experience implementing large foundation models and generative models, such as LLMs, VLMs, video diffusion models, LRMs, World Models, VLAs, Reinforcement Learning
  • Experience working within Python environments such as pytorch
  • Experience working in a Unix environment
Job Responsibility
Job Responsibility
  • Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, future prediction, 4D scene understanding & reconstruction, robotics
  • Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR and AI systems
  • Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high quality sensing and machine reasoning
Read More
Arrow Right

Ai Research Scientist —Generative Ai For Materials Discovery

Location
Location
United States , Redmond
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. degree in Machine Learning, Computational Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related technical field
  • 3+ years of research experience in generative modeling applied to molecular systems, crystal structures, or materials science (academic or industry)
  • Familiarity with large-scale molecular and crystal databases and data processing pipelines for chemical data
  • Demonstrated expertise in deep generative models — including diffusion models, flow matching / continuous normalizing flows, variational autoencoders, or autoregressive models — with applications to 3D molecular or crystal structure generation
  • Programming proficiency in Python with hands-on experience in PyTorch or JAX
  • proficiency in building, training, and evaluating large-scale deep learning models
  • Track record of first-author publications in top-tier ML or computational chemistry venues (e.g., NeurIPS, ICML, ICLR, JACS, Nature Computational Science, Digital Discovery)
  • Solid understanding of crystallography fundamentals— and molecular representations (molecular graphs, SMILES, 3D conformers)
Job Responsibility
Job Responsibility
  • Develop, train, and deploy generative models (diffusion models, flow matching, variational autoencoders, transformer-based architectures) for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction (CSP)
  • Design and implement reinforcement learning and alignment strategies (e.g., physics-informed reward signals from machine-learned interatomic potentials) to steer generative models toward physically stable and synthesizable candidates
  • Build foundational models and scalable pretraining pipelines that unify generative and predictive learning across molecules and crystalline materials, handling both discrete atom types and continuous 3D geometries
  • Collaborate closely with computational chemists to integrate first-principles calculations (DFT, force fields), molecular dynamics simulations, and domain-specific constraints into generative workflows
  • Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based multi-agent systems, enabling closed-loop autonomous experiment planning, candidate generation, and decision making
  • Curate, preprocess, and manage large-scale molecular and crystal structure datasets for model training and benchmarking
  • Establish rigorous evaluation frameworks — measuring validity, novelty, uniqueness, stability, and synthesizability of generated structures — and benchmark against state-of-the-art methods
  • Contribute to the architecture and roadmap of the autonomous materials-discovery platform, ensuring generative design modules interface seamlessly with robotic workcells, characterization instruments, and data infrastructure
What we offer
What we offer
  • bonus + equity + benefits
  • Fulltime
Read More
Arrow Right

Generative AI - ML System Engineering

We are looking for Machine Learning Systems Engineers who can help us build the ...
Location
Location
United States , Sunnyvale
Salary
Salary:
Not provided
meshy.ai Logo
Meshy LLC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in machine learning or high performance graphics
  • Solid practical understanding of at least one machine learning framework (e.g. PyTorch, JAX)
  • Strong ability to write beautiful and maintainable code in Python and/or C++
  • Ability to learn fast and dive into new concepts or complex codebases
  • Performance and efficiency oriented mindset, with a strong interest in the tiniest detail
  • Strong communication skills for working in a globally distributed team
Job Responsibility
Job Responsibility
  • Work closely with researchers to co-design the next frontier of 3D & Spatial AI
  • Build and debug on top of modern PyTorch, for maximum parallelism and efficiency, and build clean and intuitive training infrastructure for our in-house foundational models
  • Identifying bottlenecks and optimizing for high throughput & efficient distributed model training across hundreds to thousands of GPUs
  • Implementing and maintaining 3D specific custom operators in Triton or CUDA
  • Implementing and maintaining novel data-loading framework and libraries
  • Building efficient inference endpoints with complex multi-stage model pipelines
  • Optimizing models through compilation, fusion, quantization, etc
  • Fulltime
Read More
Arrow Right

Generative AI - Graphics Engineer

We are looking for skilled graphics engineer who have a deep command of modern C...
Location
Location
United States , Sunnyvale
Salary
Salary:
Not provided
meshy.ai Logo
Meshy LLC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expert-level C++ and GPU programming skills
  • Solid mathematical foundation with deep understanding of computer graphics
  • Hands-on experience building production-grade graphics systems
  • Strong engineering discipline—clean code, reproducible results, rigorous profiling, and sustainable system design
  • Working knowledge of major DCC tools (Houdini, Blender, Maya) is a plus
  • Experience in AAA game development, VFX pipelines, or other high-end 3D production environments is a plus
  • Demonstrated contributions to open-source graphics projects or publications in top-tier CG venues (SIGGRAPH, etc.) are pluses
Job Responsibility
Job Responsibility
  • Build and optimize high-performance graphics components—rendering kernels, geometry processing operators, and supporting systems
  • Develop robust production-quality pipelines that integrate with data pipelines, generative models and artist-facing applications
  • Work across GPU clusters, cloud environments, and local DCC tools to ensure seamless interoperability and scalability
  • Collaborate closely with artists, product teams, and ML researchers to translate creative requirements into technical implementations
  • Contribute to internal tooling, demos, documentation, open-source initiatives, or technical reports that elevate Meshy’s graphics capabilities
  • Fulltime
Read More
Arrow Right

AI Applied Scientist - PhD Intern, 3D Computer Vision

We are seeking remote PhD interns for Summer 2026! As a PhD Research Intern, you...
Location
Location
Germany , Munich
Salary
Salary:
Not provided
Zillow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence or a related field with a strong research track record
  • Experience in sparse-view reconstruction, camera localization and scene understanding
  • 3D Representations (Point Clouds, NeRFs, 3DGS)
  • Representation learning with limited labels (self/semi/weakly-supervised)
  • 2D, 3D or video Diffusion Models
  • Evaluating generative/agentic systems
  • Privacy‑aware and responsible AI practices (e.g., fair‑housing considerations) are a plus
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Clear communication and a collaborative mindset
  • Motivated to publish at top venues
Job Responsibility
Job Responsibility
  • Research and develop methods for adapting 2D and 3D foundation models with Zillow’s domain-specific data
  • Build and evaluate 3D computer vision and generative models
  • Prototype generative and ML workflows
  • Define metrics and run rigorous evaluations
  • Partner across science, engineering, product, and design
  • Share results via docs, presentations, and publications
What we offer
What we offer
  • 12-week paid internship
  • Flexible work arrangements (remote, hybrid, or in-person)
  • Direct supervision from experienced Applied Scientists
  • Access to Zillow's unique large-scale indoor datasets and computer resources
  • Opportunity to contribute to research projects that could lead to publications
  • Integration into Zillow's vibrant research community: Biweekly Applied Science Guild meetings, Weekly demo sessions, Research presentations and collaborations
  • Fulltime
Read More
Arrow Right

Ai Applied Scientist - Phd Intern, Generative Computer Vision

We are seeking remote PhD interns for Summer 2026! As a PhD Research Intern, you...
Location
Location
Germany , Munich
Salary
Salary:
Not provided
Zillow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence or a related field with a strong research track record
  • Experience in Image, video, or 3D Diffusion Models
  • Sparse-view reconstruction, camera localization and scene understanding
  • Diffusion Planning
  • 3D Representations (Point Clouds, NeRFs, 3DGS)
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Clear communication and a collaborative mindset
Job Responsibility
Job Responsibility
  • Research and develop methods for adapting 2D and 3D foundation models with Zillow’s domain-specific data
  • Build and evaluate generative models and 3D computer vision
  • Prototype generative and ML workflows
  • define metrics and run rigorous evaluations
  • Partner across science, engineering, product, and design
  • share results via docs, presentations, and publications
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Microsoft Robotics (Spatial AI)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
Location
United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year ▼
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Design, develop, and evaluate physical world models that capture 3D spatial structure, object geometry and pose, physics dynamics, material properties, and semantic scene understanding for robotic applications
  • Build and train world models (e.g., video prediction models, neural physics simulators, 3D generative models, scene graph representations) that predict future states of physical environments conditioned on robot actions, enabling model-based planning and policy learning
  • Develop spatial AI capabilities including 3D scene reconstruction, object detection and pose estimation, spatial relationship reasoning, occupancy prediction, and dense 3D feature representations for robot perception and planning
  • Implement and maintain evaluation frameworks for world models and spatial AI systems, including prediction accuracy metrics, planning performance benchmarks, and generalization testing across environments and object categories
  • Collaborate with robotics researchers, learning engineers, and simulation engineers to integrate world models into robot planning and control pipelines, enabling model-predictive control, imagination-based planning, and data-augmented training
  • Build data pipelines for training world models, including multi-sensor data fusion (RGB, depth, LiDAR, proprioception), scene annotation, and dataset curation for diverse physical environments and interaction scenarios
  • Write efficient, readable, extensible code in Python (including PyTorch, JAX, or TensorFlow) for model development, training, and evaluation, leveraging GPU computing infrastructure for large-scale experiments
  • Contribute to the formulation of the team's world modeling research and development roadmap, identifying high-impact technical directions and collaborating with leadership to prioritize investments
  • Present research findings and model evaluation results clearly and efficiently to internal stakeholders and external partners, contributing to technical publications, blog posts, and conference presentations
  • Stay current with state-of-the-art research in world models, spatial AI, 3D vision, neural physics simulation, and foundation models for physical understanding, actively contributing to the body of thought leadership in these areas
  • Fulltime
Read More
Arrow Right