ML Infra Engineer for Real-Time Weather Forecasts

Convectivecapital; Redwood City (CA); On-site; USD 140,000 - 240,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Vision insurance

Unlimited PTO

Stock Option Plan

Office food and beverages

Job summary

WindBorne Systems is hiring a Machine Learning Infrastructure Engineer in Redwood City, CA. You will own end-to-end uptime for real-time forecasts, build scalable inference, and manage data pipelines from diverse sources.

Join a fast-moving research team focusing on reliable distributed training, robust monitoring, and efficient cloud/on-prem compute strategies for large-scale weather models.

Qualifications

• Experience running production ML systems and building reliable deployments.
• Experience with large datasets and fast-paced model releases.
• Experience with PyTorch and Docker, memory management, and debugging network saturation.

Responsibilities

• Research to Operations pipelines — own uptime end-to-end: build health monitoring, improve logging, diagnose failures across nodes.
• Inference scaling & compute strategy — evaluate cost/performance tradeoffs across cloud options as we scale; help manage on-prem resources.
• Data pipelines & upstream reliability — build pipelines for training and real-time data with QC checks and logging/alerts for edge cases.
• Training infrastructure — make distributed training runs reliable with monitoring, auto-recovery, and job scheduling.

Skills

Production ML

Large datasets

Distributed training

PyTorch

Docker

System design

Data pipelines

Tools

PyTorch

Docker

Job description

WindBorne Systems is hiring a Machine Learning Infrastructure Engineer in Redwood City, CA. You will own end-to-end uptime for real-time forecasts, build scalable inference, and manage data pipelines from diverse sources.

Join a fast-moving research team focusing on reliable distributed training, robust monitoring, and efficient cloud/on-prem compute strategies for large-scale weather models.