X9 is seeking a Staff Machine Learning Engineer for their Climate Finance Project in Mountain View, California. The ideal candidate will have extensive experience in machine learning and strong technical skills, particularly in multi-modal models and Google Cloud Platform, to contribute towards innovative solutions for climate change
Job Summary
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying state-of-the-art multi-modal models.
Design and build end-to-end machine learning pipelines for training, evaluation, and deployment, while employing MLOps tools to manage the provenance of your data and your overall experimentation process.
Collaborate with cross-functional teams of domain scientists and software engineers to translate research ideas into production-ready solutions.
Matching Summary
Match Score: 85
X9 is seeking a Staff Machine Learning Engineer for their Climate Finance Project in Mountain View, California. The ideal candidate will have extensive experience in machine learning and strong technical skills, particularly in multi-modal models and Google Cloud Platform, to contribute towards innovative solutions for climate change.
Salary
$165,000 - $280,000
Skills & Requirements
Must-have
multi-modal models
PyTorch
Hugging Face ecosystem
GCP Vertex ecosystem
agentic workflows
geospatial models
Earth Foundation Models
MLOps tools
Python programming
Nice-to-have
climate system processes
ecosystem dynamics
economics
published research papers
Key Requirements
PhD or Master's degree
6+ years of experience
LLMs, VLMs, Earth Foundation Models experience
Google Cloud Platform (GCP) and Vertex services proficiency