logo
logo

Meta to hire machine learning engineers while cutting thousands of jobs

Information Technology・Society


sparksAI summary
Display highlights
  • Meta is ramping up hiring for machine learning engineers while cutting thousands of jobs
  • The company is planning ML Batch Day Interviews between February 11th - March 13th
  • Meta is projected to spend $65 billion on AI this year
  • The company is committed to growing its interviewer pool by 20%
  • Interviewing is once again a top priority for Meta
360 summary
  • Meta began its year-end performance review process for 2024 in December, although most employees wouldn't learn their final ratings until the coming weeks.
  • Meta CEO Mark Zuckerberg has been pushing to streamline Meta's workforce as the company pours billions into artificial intelligence and virtual reality. The cuts could become an annual event as Meta aims to regularly trim what it considers its lowest performers.
  • Multiple employees told BI that they felt frustrated that Meta had publicly framed the layoffs as targeting consistently low performers when some of those affected had previously received strong performance reviews.
Business InsiderBusiness Insider
  • Some employees were surprised and confused by their termination, and felt that they were not low performers
  • Employees expressed concern that being labeled as low performers could harm their future job prospects
  • Several employees reported that their managers had given them no indication that their jobs were at risk
Business InsiderBusiness Insider
ExploreThe above information is compiled by Business Insider and does not represent any position of Arbor. It does not constitute any investment advice made by Arbor. Before making any investment decisions, investors should consider the risk factors related to the investment products based on their own circumstances and seek advice from professional investment advisors if necessary. We strive to ensure but cannot guarantee the truthfulness, accuracy, and originality of the above content, and we make no promises or guarantees in this regard. As machine learning has a probabilistic nature, it may lead to incorrect reflection of facts in certain situations. You should appropriately evaluate the accuracy of any information summary based on your usage, including through manual evaluation of the information summary. We are not responsible for any losses or liabilities incurred by you due to your use, viewing, and access of the platform or failure to do so.
mobile

Remove Duplicated Information

app-iconLess is More
app-icon
Applicable for iOS and Android systems
Follow Us
logo
All rights reserved © 2025 Arbor.