Software Engineer

Highlights

• Be an early hire building the world's best weather forecast system.
• Develop transformative AI earth system modeling with end-to-end learning.
• Balance open science development with commercial weather tools.

Ideal candidate

Independent technical leader with 5+ years building diverse products who thrives in early-stage startups. Adaptable problem-solver passionate about AI for weather and bridging research and engineering.

Requirements

• 5+ years of industry experience in software engineering, working on a diverse range of products, systems, and applications including building data pipelines for weather or remote sensing data, and operationalizing ML models and their supporting data infrastructure.
• Expert proficiency in Python.
• Hands-on experience designing and building cloud-native applications and infrastructure, leveraging managed services on Google Cloud Platform or Amazon Web Services.
• Experience employing workflow orchestration tools (Dagster, Airflow, Prefect, etc) or other techniques for coordinating complex operational machine learning and data processing pipelines.
• Experience coordinating software and developer tooling across research and engineering teams.
• Demonstrated technical leadership and experience developing and deploying infrastructure to support MLOps at scale.
• Ability to work independently.
• Flexibility and adaptability to work on diverse projects and pivot when necessary.