As Artificial Intelligence (AI) and Machine Learning (ML) become increasingly vital components of products and services across industries, the demand for skilled AI/ML professionals is soaring. This surge puts pressure on companies to keep up with the fast-changing compensation trends and practices, a crucial step for attracting and retaining the best talent in a fiercely competitive market.
High-profile compensation headlines often capture our attention, but they can also mislead. These sensational figures might make for good stories, but they don’t always represent the full spectrum of what companies pay their AI/ML talent. It’s crucial to base your strategic decisions on accurate and comprehensive data that reflects true market conditions.
Together with PAVE, a compensation management software company, we are thrilled to announce “The 2025 AI & ML Compensation Trends & Practices Report.” This comprehensive guide dives deep into AI/ML professionals' current compensation landscape, offering unmatched insights crucial for businesses looking to stay competitive.
Introducing The 2025 AI & ML Compensation Trends & Practices Report
Our report provides an extensive analysis of:
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
“We’re extremely proud to bring you the latest and most precise data available in the market with our 2025 AI & ML Compensation Trends & Practices Report,” says Gerry Murphy, Partner at Nua Group. “This report, produced in collaboration with PAVE, doesn’t just recap numbers; it offers a realistic assessment of the market, enabling companies to develop targeted strategies that reward the right people with the right compensation for their crucial roles.”
“We hear in the news about the extreme outlier cases of AI/ML Researchers being hired at multiples of a Software Engineer's pay, but these cases are mostly few and far between. The Pave data paints a more comprehensive picture of the overall compensation market trends for AI/ML Engineering talent,” said Matt Schulman, Founder & CEO of Pave.
Whether you are hiring new AI/ML professionals or updating pay for your current team, this report gives you the essential information to manage the challenges of today’s tech job market. Equip yourself with the right knowledge to help your team not just keep up, but stand out and excel.
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