About Pravah
Pravah is building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data - including satellite imagery, LiDAR, and street-level data - to build high-fidelity representations of grid assets and their surroundings.
We are backed by Khosla Ventures, Pear VC, and Conviction.
To know more about who we are, what we are building, and why we are excited read this Notion!
https://pravah.notion.site/
Role Overview
We are seeking highly motivated students with strong foundations in mathematics, machine learning, and computational methods to join us for a summer internship. As an ML Intern at Pravah, you will work on real, open-ended technical problems at the frontier of AI and physical systems.
What You Might Work On
Weather & Load Forecasting
Develop and improve forecasting models for weather and electricity demand
Working with large-scale weather foundation models, applying geo-targeted corrections, and fine-tuning for regional accuracy
Train models for improved performance across diverse and challenging real-world conditions
Computer Vision for Grid Mapping
Build models for object detection, segmentation, and depth estimation
Apply computer vision techniques to street view, LiDAR, and satellite imagery
Contribute to world models of physical infrastructure
Graph Machine Learning for Power Systems
Graph neural networks and graph transformers for modeling power flow and temporal dynamics in large-scale grids
Model and forecast behavior in large-scale power networks
Work on power flow modeling and system optimization
Who You Are
Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Math, Physics, or a related field
Strong foundation in machine learning
Comfortable with Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX) Experience with one or more of the following is a plus:
Time series forecasting
Computer vision
Graph neural networks
Geospatial data or physical systems modeling
Curious, self-driven, and comfortable working on open-ended problems
What You’ll Gain
Hands-on experience solving real-world ML problems with direct impact
Exposure to cutting-edge research and production systems
Close collaboration with a deeply technical founding team
Opportunity to contribute to systems deployed across global energy infrastructure
Compensation
$5,000 - $10,000 per month, depending on experience and background.
Timeline & Application
Interviews are currently ongoing! So apply as soon as you can :)
Pravāh uses AI to map and understand the electric grid in real time, helping utilities manage demand, generation, and congestion while reducing blackout risk.
Key team members
Lincoln Bleveans
Daniel Robbins
Mohak Mangal
Nick Brown
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.