2025 AI & ML Compensation Trends & Practices Report

In collaboration with Nua Group

HERO-AI-ML-guide@2x (1)

 

As companies race to include Artificial Intelligence (AI) and Machine Learning (ML) capabilities in their products and business processes, demand for skilled AI/ML talent is booming. As a result, organizations are struggling to keep pace with compensation trends and practices across the market.

To help companies understand today's rapidly evolving landscape, we mined our real-time dataset to examine the current state of AI/ML pay and hiring.

 

In this report, you’ll receive information on:

  • Current base salary and equity compensation levels for AI/ML talent, and the premiums they earn over data scientists and software engineers
  • Attrition rates for AI/ML talent, plus sign-on bonus and vesting practices
  • Offer and hiring volumes for AI/ML talent
  • Strategies for incorporating AI/ML roles into your job architecture  








 

Get your free copy

By submitting this form, you will receive information, tips, and promotions from Pave and our preferred partners. To learn more, see Pave's terms of use and master service agreement.

What makes equity compensation work for an organization in 2024? Our team at Pave analyzed the real-time data available in our platform across 6,400 customers and 50 countries to understand the latest in equity compensation practices. We’re sharing what we learned to help you make equity decisions that are responsible and competitive with market trends.