Job Description
The role involves building and optimizing scalable machine learning infrastructure to support high-performance training, inference, and evaluation on large-scale datasets, with a focus on advancing clean energy solutions and decarbonizing the electricity system.
Key Responsibilities
- Build and optimize the infrastructure of the ML platform for training, inference, and evaluation.
- Design scalable, high-performance systems for processing large-scale time-series and weather datasets.
- Enhance throughput and efficiency of machine learning workflows on distributed and GPU-based systems.
Requirements
- The candidate must have solid expertise in machine learning.
- The candidate must have solid expertise in distributed systems.
- The candidate must have solid expertise in GPU-based training.
- The candidate must have strong deep learning fundamentals.
- The candidate must have strong software engineering skills.
Benefits & Perks
Ready to Apply?
Join Gridmatic and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More jobs at Gridmatic
Lead Data Infrastructure Engineer
Gridmatic
Cupertino
Full Time
Dec 24
ML Performance Engineer
Gridmatic
Cupertino
Full Time
Dec 28
ML Performance Engineer
Gridmatic
Cupertino
Full Time
Jan 4