Earlier this month, Apple’s machine learning director, Ian Goodfellow, left the company because he didn’t agree to a face-to-face work policy. Good Fellow seems to have returned to Google, the company he worked for before joining Apple.

Bloomberg I’ve heard from sources familiar with the issue that Goodfellow has agreed to accept a position in DeepMind, Google’s division focused on artificial intelligence. However, the company has not yet confirmed its adoption. However, this isn’t the first time Goodfellow has worked with Google.

Prior to being hired by Apple in 2019, the engineer worked for Google, where he was responsible for machine learning and artificial intelligence projects. He was known as the “Father of the General Hostile Network (GAN),” a technology used to generate media content, including “deepfake.”

After working for Cupertino for three years, Good Fellow decided to quit Apple. Goodfellow wrote in a note to his team that he strongly believes that “increasing flexibility was the best policy for my team.” It primarily refers to Apple’s policy against working from home.

Last month, a few Apple employees began to return to work face-to-face, and all employees had to return to the office three times a week starting May 23. However, a group of employees criticized the company for being inflexible. Work remotely. Google, on the other hand, allows employees to explore flexible work options.

Last year, several Apple executives also left the company due to a policy of returning to Apple’s office.

Apple postpones face-to-face work requirements

Apple had plans to require employees to return to the office within a few days, but the company had to postpone such a request again. However, this decision is more related to an increase in the number of cases of COVID-19 than to employee demands.

Employees still need to return to face-to-face work, but only two days a week. In addition, Apple again requires everyone to wear face masks in shared areas.

Unfortunately, if Apple doesn’t change its mind about working remotely, it can lose other talent. Especially if other Silicon Valley companies are much more flexible in this regard.

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