In the rapidly scaling world of artificial intelligence (AI) and machine learning (ML), securing top-tier talent is crucial for driving innovation and staying ahead of the technical curve. For many organizations, Facebook (Meta), Apple, Amazon (AWS), Netflix, Google, and Microsoft (FAANG+M) have long been the go-to sources of cutting-edge research and development. These companies have made massive investments in AI and ML, with many research initiatives and breakthroughs emerging from their work. As a result, identifying and sourcing AI talent from these organizations presents a unique opportunity for companies looking to enhance their capabilities.
One effective strategy to uncover top AI/ML talent is by mapping and sourcing the research and publication sites of these top-tier companies. Many of these organizations host public-facing research sites that offer insights into their AI/ML projects, the people behind them, and the cutting-edge innovations they’re working on. By leveraging these resources, businesses can find skilled AI/ML talent who might not be as visible on traditional platforms like LinkedIn.
The Value of FAANG+M Research Sites
Below is a list of key research sites from FAANG+M companies that provide valuable information about their AI/ML work:
Facebook / Meta:
Apple:
Amazon / AWS:
Netflix:
Google:
Microsoft:
These research sites not only highlight ongoing AI/ML projects but also provide detailed information about the researchers themselves, including their areas of expertise, their past publications, and the projects they’ve been involved with. This can help recruiters and companies identify professionals with the tailored skill set for their needs.
X-Raying Research Sites for Talent
A useful technique for identifying AI/ML talent from these companies is through X-ray searches, which are a method of site searching that helps to pinpoint specific information on the web. This technique can be especially useful when targeting researchers whose profiles may not be readily available on LinkedIn or other professional networking sites.
Let’s explore a couple of examples:
Example 1: Google Research
Google’s research page (https://research.google/people/) features a list of the company’s AI/ML researchers. To find relevant talent, you can perform an X-ray search using the following string:
site:https://research.google/people/ AND “machine learning”
This search will return profiles of Google researchers who specialize in machine learning, making it easier to pinpoint potential candidates.
Example 2: Microsoft Research (FinTech)
Microsoft Research also has an extensive catalog of their researchers, which can be mined for talent, especially in niche areas like FinTech. For example, if you’re looking for professionals with experience in payments, embedded finance, or digital wallets, critical areas for companies like Marqet, you can use this search string:
site:https://www.microsoft.com/en-us/research/people/ AND (payments OR FinTech OR “Embedded Finance” OR “Digital Wallet” OR “Financial Services”)
This search will return profiles of Microsoft researchers who specialize in the financial technology sector, a goldmine for companies looking to bring in expertise for FinTech-focused projects.
Why X-ray Searches Are Effective
Traditional recruiting methods like LinkedIn are valuable, but they don’t always capture all the AI/ML talent in the marketplace. Many top-tier researchers prefer not to maintain LinkedIn profiles or may not be active on professional networking sites. However, their research, publications, and work on company websites often serve as a digital footprint that can be mined using X-ray searching.
By leveraging these publicly available research sites and applying X-ray search techniques, companies can discover AI/ML experts who are actively shaping the future of technology.
Conclusion
FAANG+M companies represent the pinnacle of AI/ML research and development, and their research sites provide a valuable treasure trove of talent waiting to be discovered. By mapping these resources and utilizing advanced techniques like X-ray searches, companies can effectively tap into a pool of highly skilled AI/ML professionals.
As the demand for AI and ML expertise continues to rise, exploring these research websites offers an efficient way to secure top tier AI/ML talent.
