Pravah is building foundational intelligence for the electric grid by applying modern machine learning to complex physical infrastructure problems
Job Summary
Pravah is building foundational intelligence for the electric grid by applying modern machine learning to complex physical infrastructure problems.
The role involves defining technical direction and shipping models that are deployed in production across utilities in the United States and India.
Candidates will have the opportunity to contribute to frontier ML work suitable for publication in areas where existing methods do not translate cleanly.
Matching Summary
Pravah is building foundational intelligence for the electric grid by applying modern machine learning to complex physical infrastructure problems.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
6+ years machine learning experience
Computer vision object detection segmentation
Vision transformers and generative modeling
Python and PyTorch proficiency
Large-scale real-world dataset experience
Nice-to-have
Experience with geospatial satellite LiDAR data
Ability to operate in ambiguous environments
Track record of research publications
First-principles reasoning skills
Multimodal learning expertise
Key Requirements
6+ years of experience building and deploying ML systems
Strong engineering fundamentals in Python and ML frameworks
Proven track record of taking systems from research to production at scale