Ian Goodfellow Resigns Due To Apple’s New Work Policy

Ian Goodfellow Resigns Due To Apple’s New Work Policy

Now, Apple’s director of machine learning, Ian Goodfellow, has left the business over its return to work policy.

Employees have been vocal in their opposition to Apple’s recent return to in-person employment. According to several stories, some employees have even left the firm due to the regulations, choosing a workplace that is more supportive of remote work.

Apple hired Goodfellow from Google in 2019 in its “Special Projects Group.” Goodfellow worked with Google for more than six years, beginning as a software engineering intern and rising to the position of “Senior Staff Research Scientist” by the time he left for Apple in March 2019.

Ian Goodfellow Wants Flexibility For His Team

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Ian Goodfellow is leaving Apple just three years after joining because of the company’s return to work policy.

Following two years of remote work caused by the COVID-19 epidemic, Apple staff began returning to in-person work on April 11. Apple’s back-to-work strategy is being implemented in stages. Employees were obliged to work in person at least one day each week in the beginning. The corporation increased this to two days each week in the workplace on May 4. Employees will be required to work three days per week beginning May 23. This marks the beginning of Apple’s “hybrid” work plan, which will require staff to work from the office every Monday, Tuesday, and Thursday.

Ian Goodfellow’s old company, Google, demanded that some groups shift to in-person work beginning last month, although many workers may work from home permanently. Apple is said to have provided considerable leeway to individual teams, enabling managers to change regulations as they see suitable. This appears not to have been the case with Goodfellow’s squad.

While a handful of Apple employees have allegedly left the firm due to the company’s insistence on in-person work, Goodfellow’s resignation is the most publicized example to date. It remains to be seen whether any additional high-profile exits occur.