MeshyAI Logo

MeshyAI

Machine Learning System Engineer

Job Posted 9 Days Ago Reposted 9 Days Ago
Remote
Hiring Remotely in US
Mid level
Remote
Hiring Remotely in US
Mid level
Machine Learning Engineers will enhance 3D GenAI systems, develop training pipelines, and deploy machine learning models while collaborating with teams.
The summary above was generated by AI

About Meshy

Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1.

Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV.

  • No. 1 popularity, among 3D AI tools, according to A16Z games,
  • No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),
  • Leading 3D foundation model, delighted texture & fine geometry,
  • $52M funding by Top VCs,
  • 2.5M users & 20M models generated!

Ethan Yuanming Hu serves as the founder and CEO. Ethan got his Ph.D. in graphics and AI from MIT, where he developed the Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His Ph.D. thesis got a honorable mention of SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and his research has been cited over 2700 times. His favorite animal is the llama.

About the Role
We are looking for Machine Learning Systems Engineers who can help us build the world's largest end-to-end 3D native machine learning systems. You will help us build our end to end ML framework dedicated for 3D, from pretraining, to finetuning, inferencing, etc. We expect a combination of strong hands on engineering skills, eagerness to learn new things, and thrives in a fast-paced, high-ownership environment.
What You’ll Do:
  • Work within the AI model team to streamline 3D data into high-throughput pipelines and scale training infrastructure to hundreds of GPUs.
  • Train, accelerate, and deploy machine learning models for 3D GenAI.
  • Design and implement reliable and scalable distributed training pipelines, optimize end-to-end training efficiency.
  • Work closely with researchers, software engineers, and artists to integrate AI models into production.
 
On the training side
  • Work closely with researchers to build the 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.
  • Building and maintaining training clusters and job schedulers.
  • Implementing and maintaining 3D specific custom operators in Triton or CUDA
On the inference side
  • Building efficient inference endpoints with complex model pipelines
  • Optimizing models through compilation, fusion, quantization, etc.
What We're looking for:
  • Experience in machine learning or high performance graphics.
  • Solid practical understanding of at least one machine learning framework (e.g. PyTorch, Flax).
  • 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.
Nice to have:
  • A strong passion to navigate through the PyTorch internals, with hands-on experience in areas like torch.compile , fully_shard (FSDP2) APIs.
  • Experience with building Triton kernels.
  • Experiences with large-scale distributed training, familiarity with modern parallelization techniques: DP, TP, CP, PP, zero redundancy optimizers, etc.
  • Experience with diffusion models in 3D or video.
  • Experience with full bf16 or partially fp8 training.
Our Values
  • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
  • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
  • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
  • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.
Why Join Meshy?
  • Competitive salary, equity, and benefits package.
  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
  • Flexible work environment, with options for remote and on-site work.
  • Opportunities for fast professional growth and development.
  • An inclusive culture that values creativity, innovation, and collaboration.
  • Unlimited, flexible time off.

Benefits

  • Competitive salary, benefits and stock options.
  • 401(k) plan for employees.
  • Comprehensive health, dental, and vision insurance.
  • The latest and best office equipment.

Top Skills

C++
Computer Vision
Graphics
Machine Learning
Python
PyTorch
TensorFlow

Similar Jobs

6 Days Ago
Remote
United States
Fitness • Healthtech • Software

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.

Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Science team, you’ll have the opportunity to positively impact those users by creating the predictive models and AI that drives the MyFitnessPal ecosystem. In add...

Yesterday
In-Office or Remote
5 Locations
167K-264K Annually
Mid level
167K-264K Annually
Mid level
Artificial Intelligence • Consumer Web • Digital Media • Machine Learning • Software
The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.
Top Skills: APIsC++GoMachine LearningPython
13 Days Ago
In-Office or Remote
San Francisco, CA, USA
190K-306K Annually
Senior level
190K-306K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Machine Learning System Engineer, you will develop infrastructure for ML models, tackle architectural challenges, and lead projects at Atlassian's Central AI team.
Top Skills: SparkAWSDatabricksJavaKotlinPython

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account