Talent Landscape for AI/ML Engineers in US

AI/ML engineers in the United States are vital to the advancement of artificial intelligence and machine learning. The US hosts a significant portion of the global AI/ML workforce, highlighting its leading role in the field. These engineers drive innovation across sectors like technology, manufacturing, BFSI, and healthcare, impacting data-driven decision-making and technological progress worldwide. Their expertise ensures the continued growth and dominance of AI/ML technologies.

The report concludes by highlighting the details on trends in AI/ML engineering owing to the advent of Gen AI and provides a detailed analysis on the skills sets of AI/ML engineers in the US.

Key Highlights:

• There are a total of approximately 24,000 AI/ML Engineers in the US, as of July 2024.
• Around 44% of the AI/ML Engineers in the US are proficient in LLMs, which is important for developing applications involving natural language understanding and generation.
• The annual median salary of the Senior-level AI/ML Engineers, typically with 5-10 years of experience in this field is around $167K.
• San Francisco is home to 37.6% of the AI/ML engineers in the US. The significant presence can be attributed to the presence of numerous established tech and VC companies.
• Palo Alto and San Francisco provide the highest annual median salaries, ~$170K, as these areas/cities are the epicenter for tech and where the top talent are recruited.

Table of Contents:

1. Talent Landscape for AI/ML Engineers in the US
2. Salary Structure for AI/ML Engineers in the US
3. Distribution of Key Skills Among AI/ML Engineers in the US
4. Trends in AI/ML Engineers in the US