Real-Time ML Systems Engineer for Weather Forecasting

engineeringjobs.net, Inc.; Redwood Valley (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

401(k)

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Stock Options

Office Food And Beverages

Job summary

Engineering teams in Redwood Valley, California are seeking an engineer to build and operate reliable tooling for weather-model inference, with a focus on failure detection and recovery to keep forecasts running. You will develop real-time atmospheric data pipelines and visualization tools that reveal processing progress and bottlenecks.

The role requires owning production software, tackling substantial systems, and debugging across components with curiosity and independent problem-solving.

Qualifications

• Candidates should have owned production software, built substantial systems, and be comfortable investigating unfamiliar code and debugging across system components. The role also calls for curiosity, independent problem-solving, operational discipline, and effective use of AI tools; prior machine learning experience is not required.

Responsibilities

• Build and operate reliable tooling for weather-model inference, including failure detection and recovery so forecasts continue running.
• Develop real-time atmospheric data pipelines and visualization tools that reveal processing progress, bottlenecks, and failures.

Skills

Production Software Ownership

System Reliability

Monitoring

Incident Recovery

Data Pipelines

Real-Time Data Processing

Distributed Systems

Infrastructure

Debugging

Software Design

Data Visualization

Machine Learning Inference

GPU Computing

PyTorch

AI And Agentic Tools

Scientific Computing

Job description

Engineering teams in Redwood Valley, California are seeking an engineer to build and operate reliable tooling for weather-model inference, with a focus on failure detection and recovery to keep forecasts running. You will develop real-time atmospheric data pipelines and visualization tools that reveal processing progress and bottlenecks.

The role requires owning production software, tackling substantial systems, and debugging across components with curiosity and independent problem-solving.