AI/ML Engineer - Remote

Overview

As an AI/ML Engineer at Reflective, you will be the technical lead for ML architecture and MLOps for our multi-scale modeling project, turning petabytes of climate and microphysics data into robust, lightning-fast surrogate models.

In Short

• Lead ML architecture and MLOps for climate modeling.
• Prototype machine-learned emulators for SAI deployment scenarios.
• Design and benchmark surrogate architectures.
• Build reproducible data pre-processing and training pipelines.
• Implement state-of-the-art computer vision models.
• Automate hyper-parameter sweeps on multi-GPU clusters.
• Document workflows for easy model retraining.
• Collaborate on releases and user-support channels.
• Passionate about climate solutions.
• Open to remote candidates worldwide.

Requirements

• 3+ years in applied ML engineering.
• Experience with end-to-end deep-learning systems.
• Strong skills in Python, Linux, GitHub Actions, Docker.
• Familiarity with scientific data formats.
• Ability to explain ML choices to scientists.
• Creative problem-solving mindset.
• Passion for Reflective’s mission.

Benefits

• Competitive salary based on experience.
• Medical, dental, vision insurance.
• 401(k) plan.
• Generous paid time off and sick leave.
• Flexible working hours.