On December 14th, Brett Adcock, CEO of Figure AI, publicly stated on his personal social media platform that since its establishment in 2022, Figure AI has received 176000 resumes, of which only about 425 have been hired, with a hiring rate of 0.24%. If the number of applications is evenly distributed over the years when Figure AI operates, with nearly 59000 applications per year, its admission rate is lower than that of the most difficult universities to get into in the United States. According to the ranking of U.S. News&World Report, the admission rate of California Institute of Technology is the lowest, only 3%.


The CEO of Figure AI revealed on social media the resumes he had received.

Companies like Figure AI are at the intersection of two major trends in the job market. On the one hand, robots and artificial intelligence, as the hottest technology fields today, have attracted a large influx of talents, further intensifying competition in this field. On the other hand, the competition for top talents among enterprises is becoming increasingly fierce. Top tech companies like Meta and OpenAI are currently in a battle for AI talent, offering compensation packages ranging from seven to nine figures solely to poach top AI researchers. Even tech startups are competing for artificial intelligence talent, offering higher equity benefits and other benefits that may not be easily obtained in large companies, such as co-founder titles or more research time.

In fact, domestic leading companies in embodied intelligence are also facing the same situation of difficulty in talent recruitment.

According to a recent survey by Beijing Institute of Technology, there is currently a shortage of about 1 million embodied intelligence talents in various industries, especially in key fields such as advanced algorithms, motion control, and mass production engineering, where there is a serious shortage of qualified mid to high end talents.

In the competition of the talent market, the position of "roll" is more concentrated in top companies or core positions. For example, algorithm engineer positions offered by companies such as ByteDance, Huawei, and BYD can earn a monthly salary of up to 25000 to 90000 yuan, attracting a large number of job seekers. This has led to extremely strict screening processes for these popular companies, often requiring multiple rounds of technical interviews. In addition, there are high thresholds such as project experience, academic papers, competition results, or open source contributions, resulting in extremely low actual pass rates.

On December 14th, Brett Adcock, CEO of Figure AI, publicly stated on his personal social media platform that since its establishment in 2022, Figure AI has received 176000 resumes, of which only about 425 have been hired, with a hiring rate of 0.24%. If the number of applications is evenly distributed over the years when Figure AI operates, with nearly 59000 applications per year, its admission rate is lower than that of the most difficult universities to get into in the United States. According to the ranking of U.S. News&World Report, the admission rate of California Institute of Technology is the lowest, only 3%.


The CEO of Figure AI revealed on social media the resumes he had received.

Companies like Figure AI are at the intersection of two major trends in the job market. On the one hand, robots and artificial intelligence, as the hottest technology fields today, have attracted a large influx of talents, further intensifying competition in this field. On the other hand, the competition for top talents among enterprises is becoming increasingly fierce. Top tech companies like Meta and OpenAI are currently in a battle for AI talent, offering compensation packages ranging from seven to nine figures solely to poach top AI researchers. Even tech startups are competing for artificial intelligence talent, offering higher equity benefits and other benefits that may not be easily obtained in large companies, such as co-founder titles or more research time.

In fact, domestic leading companies in embodied intelligence are also facing the same situation of difficulty in talent recruitment.

According to a recent survey by Beijing Institute of Technology, there is currently a shortage of about 1 million embodied intelligence talents in various industries, especially in key fields such as advanced algorithms, motion control, and mass production engineering, where there is a serious shortage of qualified mid to high end talents.

In the competition of the talent market, the position of "roll" is more concentrated in top companies or core positions. For example, algorithm engineer positions offered by companies such as ByteDance, Huawei, and BYD can earn a monthly salary of up to 25000 to 90000 yuan, attracting a large number of job seekers. This has led to extremely strict screening processes for these popular companies, often requiring multiple rounds of technical interviews. In addition, there are high thresholds such as project experience, academic papers, competition results, or open source contributions, resulting in extremely low actual pass rates.