Generative AI - 3D Foundation Model at Meshy LLC
Sunnycale, CA
$175,000–$300,000from the description
Jul 14, 2026
Sunnycale, CA
Jul 21, 2026
What this job asks for AI summary
A research scientist role focused on building large-scale 3D generative AI foundation models, spanning pre-training, post-training, diffusion, flow matching, and multimodal learning. The work involves designing novel model architectures, deploying models into production used by millions, and collaborating on scalable training infrastructure. Best suited to candidates with strong PyTorch skills and hands-on experience with transformer-based generative models.
Senior level · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 3,000 people nationally plausibly meet what this posting asks for (data scientists). range 620–4,550
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting is for a research scientist / ML engineer role focused on 3D generative AI foundational models. It sits between Data Scientists (15-2051, for the ML modeling/research emphasis) and Software Developers (15-1252, for the strong engineering and production-deployment emphasis); 15-2051 was chosen as primary because the core work is designing, training, and advancing novel model architectures and research paradigms.
The job title is not stated explicitly — the role is described as a 'core member of the team of research scientists and machine learning engineers', so advertised seniority is Unspecified. The scope and depth of responsibilities (foundational model development, state-of-the-art research, production deployment at scale) support a Senior classification.
The posting explicitly states this is a fully in-office position at the Sunnyvale, CA headquarters; the caller has overridden this to remote=true and no metro.
SLURM, Ray, and Kubernetes are listed together under a 'nice to have / plus' qualifier for high-performance training familiarity; they are treated as preferred and listed as alternatives of each other since the JD presents them as a group of equivalent options.
Open-source ML contributions and top-tier CV/ML conference publications are also listed as a plus and were omitted from the skills list as they are not named technologies or tools.
No minimum degree or years of experience are explicitly stated in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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