# Machine Learning Infrastructure Engineer at WindBorne

- Company: WindBorne
- What the company does: WindBorne designs, builds, and operates a constellation of long-duration smart weather balloons targeting the most critical data in the atmosphere. Backed by Khosla and Pear VC.
- Company website: https://windbornesystems.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: RWC HQ
- Work setup: On-site
- Pay: $140K to $240K base salary per year (USD)
- Posted: 2026-07-17
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/windborne-systems/79678539-14fa-4896-a622-31705e9d362e
- Page: https://www.1752.vc/careers/jobs/windborne-machine-learning-infrastructure-engineer/

## About the role

Research to Operations pipelines — Our models serve real-time forecasts to customers with strict latency requirements. You'd own uptime end-to-end: build health monitoring, improve logging, diagnose failures across nodes. Inference scaling & compute strategy — We have an on-prem cluster but also use cloud providers, especially for production deployments. You'd evaluate cost/performance tradeoffs across cloud options as we scale, and also help manage growing on-prem resources for compute and storage.

## What they're looking for

- Have experience running production ML systems — you’re not just good at fighting fires but also know how to build systems that don’t catch on fire
- Experience with large datasets
- Comfortable keeping up with fast-paced model releases and building reliable custom deployments for them
- Experience with PyTorch, Docker, cursed memory management, compression and debugging network saturation
- Affinity for systems and structure — you can counterbalance a research team’s natural state of chaos with well-organized infrastructure and clear processes

Tags: Business