Generative Engine Optimization Jobs for OPT Students
Generative Engine Optimization is an emerging discipline sitting at the intersection of SEO, AI, and content strategy. Most GEO roles require a background in marketing, computer science, or communications. OPT students get 12 months of work authorization, extendable to 36 months with an approved STEM extension for qualifying degrees.
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Get Access To All JobsINTRODUCTION
We’re looking for exceptional research interns who are passionate about AI, graphics, and building world-class products together with us.
ROLE
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 push the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
BASIC QUALIFICATIONS
- Able to commit to a full-time internship for 12 weeks or longer
- Intend to join Meshy full-time after graduation (ideally graduating from 9/2026-9/2027, but later is also acceptable)
- Open to undergraduate, master's, or PhD students
- Strong in technical fundamentals, with a spirit of innovation and willingness to challenge yourself
WHO YOU ARE
You are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently. You have a deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in "the scaling law." You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues. You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.
ESSENTIAL FUNCTIONS
The essential functions include, but are not limited to the following:
- 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 a 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.
PREFERRED QUALIFICATIONS
- 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 computer graphics, including rendering, geometry processing is a plus.
- 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.
INTERNSHIP TRACKS
Star Intern
- Base salary: $70/hour
- Role: Collaborate with research engineers to drive progress in AI and graphics R&D
- Requirements: First-author publications in top-tier conferences such as SIGGRAPH, ICLR, etc.
Rising Intern
- Base pay: $50/hour
- Role: Collaborate with research engineers to drive progress in AI and graphics R&D
- Requirements: Hands-on experience in multimodal AI or computer graphics, either through research or engineering work
LOCATION
We are based in Sunnyvale, California.
ABOUT MESHY
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. 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 cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
INTRODUCTION
We’re looking for exceptional research interns who are passionate about AI, graphics, and building world-class products together with us.
ROLE
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 push the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
BASIC QUALIFICATIONS
- Able to commit to a full-time internship for 12 weeks or longer
- Intend to join Meshy full-time after graduation (ideally graduating from 9/2026-9/2027, but later is also acceptable)
- Open to undergraduate, master's, or PhD students
- Strong in technical fundamentals, with a spirit of innovation and willingness to challenge yourself
WHO YOU ARE
You are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently. You have a deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in "the scaling law." You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues. You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.
ESSENTIAL FUNCTIONS
The essential functions include, but are not limited to the following:
- 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 a 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.
PREFERRED QUALIFICATIONS
- 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 computer graphics, including rendering, geometry processing is a plus.
- 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.
INTERNSHIP TRACKS
Star Intern
- Base salary: $70/hour
- Role: Collaborate with research engineers to drive progress in AI and graphics R&D
- Requirements: First-author publications in top-tier conferences such as SIGGRAPH, ICLR, etc.
Rising Intern
- Base pay: $50/hour
- Role: Collaborate with research engineers to drive progress in AI and graphics R&D
- Requirements: Hands-on experience in multimodal AI or computer graphics, either through research or engineering work
LOCATION
We are based in Sunnyvale, California.
ABOUT MESHY
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. 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 cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
How to Get Visa Sponsorship in Generative Engine Optimization
Target AI-forward marketing teams
GEO is newest at companies investing heavily in AI-driven content. Prioritize roles at organizations with dedicated AI or search teams, where your OPT status is less of a friction point than at traditional marketing agencies unfamiliar with the authorization process.
Lead with measurable AI content results
Sponsoring employers want proof of impact. Quantify your GEO work with metrics like answer engine visibility rates, citation frequency in AI-generated responses, or organic traffic lift from structured content changes you directly implemented or tested.
Check if your degree qualifies for STEM OPT
Computer science, data science, and information systems degrees often qualify for the 24-month STEM extension. Confirming your eligibility before interviewing gives you a concrete answer when employers ask how long you can work without H-1B sponsorship.
Apply before your OPT start date
GEO hiring cycles move quickly. Submit applications at least two to three months before your OPT authorization begins so you can start on day one without gaps, and so employers aren't waiting on paperwork before your first week.
Frame GEO as a scarce, high-demand skill
Most hiring managers haven't heard of Generative Engine Optimization yet. Frame it as emerging expertise in AI search visibility, answer engine ranking, and large language model content strategy. Scarcity of skilled candidates works in your favor during negotiations.
Clarify your authorization timeline upfront
Be transparent about your OPT end date and STEM extension eligibility in early conversations. Employers who understand the timeline can plan around it. Ambiguity about work authorization is the most common reason GEO candidates lose offers late in the process.
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Get Access To All JobsFrequently Asked Questions
Can I work in a Generative Engine Optimization role on OPT?
Yes, as long as the role is directly related to your field of study. GEO positions typically qualify under degrees in marketing, communications, computer science, or information systems. Your DSO will confirm whether the specific job description meets the requirement for a practical training authorization tied to your program.
Do Generative Engine Optimization jobs qualify for the STEM OPT extension?
They can, depending on your degree. If your underlying F-1 program is in a STEM-designated field like computer science or data science, your GEO job may qualify for the 24-month extension, giving you up to 36 months of total OPT. The job must be directly related to that STEM degree, and your employer must participate in E-Verify.
How do I find Generative Engine Optimization jobs that sponsor OPT students?
Migrate Mate filters job listings by OPT sponsorship, so you're not wasting time applying to roles where visa authorization is a dealbreaker. GEO is a niche enough discipline that not every employer understands OPT work authorization, making it worth using a platform that already screens for sponsorship-friendly companies.
What happens to my OPT status if my Generative Engine Optimization job ends?
You have a 60-day grace period after your employment ends during which you remain in valid F-1 status but cannot work. You can use that window to find a new GEO role or transition to a different visa status. Accruing more than 90 days of unemployment during your OPT period will terminate your authorization, so timing matters.
Do GEO employers typically understand how OPT work authorization works?
Not always. GEO is concentrated in startups and AI-focused teams that often hire internationally, but smaller companies may have limited experience with F-1 OPT paperwork. Come prepared with a one-page summary of your authorization timeline, STEM extension eligibility, and what the employer needs to provide, specifically a signed training plan for STEM OPT. It removes the uncertainty that causes hesitation.
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