P4 · Probe profile
Wei-Cheng Liu
Senior Specialist · ML Infra · Global Remote
Age
34-42
Location
Remote · global (US-TZ pref.)
Stage
Senior IC (staff-track)
Experience
11 yr
“Ten-plus years building ML infrastructure — most recently leading training-platform work for billion-parameter models. I want a frontier AI lab or a serious ML-infra team. Not a chatbot wrapper.”
Challenges
- ▸Most "ML engineer" postings are model-applications, not platform/infra — high noise
- ▸Niche stack (CUDA · Triton · FSDP · DeepSpeed) — keyword-only matchers miss the right level
- ▸Wants comp that reflects staff-track at frontier labs — must surface those, not seed-stage roles
Strengths
- ●Deep, well-credentialed specialist — exactly the profile frontier labs are hiring
- ●Stack-agnostic across PyTorch · CUDA · K8s · Ray — orchestration AND systems
- ●Open globally; can match any time zone for the right team
Brings to search
Resume on fileyes
LinkedIn importedyes
Past searches9
Career stageWorking professional
Target roleStaff ML Infrastructure Engineer
Salary band$320k-$500k total comp
Queries
20
Success rate
34%
Trial id
P4-D1-001
O*NET
15-2051.01
Occupation: Machine Learning Engineers / Researchers · O*NET ↗
Query corpus
D1-001 to D1-020 — "staff ML infrastructure engineer" + niche variants