Generative AI - ML System Engineering 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
This role focuses on building and scaling end-to-end machine learning infrastructure for 3D generative AI, spanning training frameworks, distributed GPU training pipelines, custom operators, and inference engines for multi-stage diffusion model pipelines. The work involves close collaboration with researchers on model architecture, as well as performance optimization through techniques like quantization, compilation, and parallelism. It suits engineers with hands-on ML systems experience who are comfortable working across Python, C++, and low-level GPU programming.
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 13,300 people nationally plausibly meet what this posting asks for (software developers). range 8,000–20,000
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 $138,970 (middle half $107,524–$175,762). 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 (10)
The job posting explicitly states this is a fully in-office position at Sunnyvale, CA headquarters; the caller has overridden this to remote=true and no metro is set per their instruction.
PyTorch and JAX appear together as interchangeable examples of 'at least one machine learning framework' in the requirements section — emitted as one skill with JAX as an alternative.
Python and C++ are listed together with 'and/or' in the requirements section; they are distinct languages both used in the role, so emitted as separate required skills.
torch.compile and FSDP2 (fully_shard) appear under the 'Nice to have' section — marked preferred.
Triton kernel experience appears under 'Nice to have'; CUDA is listed as an alternative in the main responsibilities context for custom operators.
Distributed training parallelization techniques (DP, TP, CP, PP, zero redundancy optimizers) appear under 'Nice to have' — captured as a single preferred 'distributed training' skill.
Diffusion model experience and low-precision training (bf16/fp8) both appear under 'Nice to have' — marked preferred.
No minimum total years of experience is stated in the posting.
The role title carries no seniority level; the title states no level. The scope (co-designing architectures, owning full ML stack, hundreds-to-thousands of GPUs) and compensation range ($175K–$300K) support a Senior classification.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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