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Ml Intern Jobs (NOW HIRING)

ML Summer Intern

San Francisco, CA · On-site

$5.0K - $10K/mo

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 ...

Applied Scientist AI/ML Intern Location : Remote/United States About Us Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize ...

... ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG)-based AI ... The intern will work on real-world semiconductor software challenges, focusing on improving AI ...

... ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG)-based AI ... The intern will work on real-world semiconductor software challenges, focusing on improving AI ...

... ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG)-based AI ... The intern will work on real-world semiconductor software challenges, focusing on improving AI ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Intern - ML Engineering

Seattle, WA · On-site

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

AI/ML Engineering Intern

Tucson, AZ · On-site

$14.50 - $18.75/hr

AI/ML Engineering Intern Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every Other Friday Off AI/ML Engineering Intern - Build AI That Powers the Future of Flight At Universal ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

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How much do ml intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for ml intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What kinds of projects do ML Interns typically work on, and how can they make the most impact during their internship?

ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.

What are ML Interns?

ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.

What are the key skills and qualifications needed to thrive as an ML Intern, and why are they important?

To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.
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ML Summer Intern

Pravāh

San Francisco, CA • On-site

$5.0K - $10K/mo

Internship

Posted 28 days ago


Job description

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 :)