ML Infrastructure Engineer

Techire Ai

Job Location:

San Francisco, CA - USA

Monthly Salary: $ 250 - 350

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

Most AI roles build on top of models. This one builds what makes them actually work.

Were hiring ML Infrastructure Engineers to tackle a hard real-world problem understanding whats happening on live job sites using wearable devices large-scale video and AI.

This isnt clean benchmark data.

Its messy continuous real-world input flowing from device edge cloud at scale.

Youll be working across:

High-throughput video pipelines handling millions of hours of data
Training and inference systems for multimodal / LLM-based models
GPU infrastructure and performance optimisation
Hybrid environments spanning edge on-prem and cloud

The role is end-to-end. Ingestion through to deployment.

Youll be building the systems that make applied AI viable outside the lab.

The team comes from top AI and infrastructure companies with strong funding and a clear technical roadmap. This is a systems challenge as much as an ML one.

San Francisco (on-site). $250k$350k base strong equity.

If youve built ML or data infrastructure at scale and care about real-world constraints this is worth a conversation.

All applicants will receive a response.

Required Experience:

Job DescriptionMost AI roles build on top of models. This one builds what makes them actually work.Were hiring ML Infrastructure Engineers to tackle a hard real-world problem understanding whats happening on live job sites using wearable devices large-scale video and AI.This isnt clean benchmark dat...