Apple Inc has emerged as a notable exception, demonstrating its resilience and commitment to maintaining a strong workforce at a time when many of its peers have announced job cuts. The company’s job openings increased 23% month-over-month in May 2023. As the company ramps up its hiring efforts, especially in the artificial intelligence (AI) space, it signals a potential leap into the generative realm. GlobalData, a leading data and analytics company, says AI is keeping pace with significant advances in the industry.
Sherla Sriprada, Business Fundamentals Analyst at GlobalData, commented: For example, her May 2023 job openings by Alphabet and Amazon.com decreased compared to the previous month. “
An analysis of GlobalData’s Job Analytics database reveals that the company’s hiring is primarily centered in the United States, which will account for more than 75% of all job postings in May 2023. rice field. On the other hand, it seems that attention to some areas is increasing. For jobs posted in the UK, Israel and Japan.
In the UK, the company posts jobs for RTL Design Engineers, Apple News and the Apple Services Academy. Similarly in Israel, the company is posting jobs for physical design engineers, CAD engineers, imaging and sensing technology groups, and more. For example, the CAD Engineer – Infrastructure and Queue Developer role considers developing multi-threaded distributed systems and auxiliary layers and services on top of existing batch grid systems. In Japan, the company posts jobs related to Apple Pay, physical design engineers, and Apple Services Academy.
Apple is looking to hire AI/ML engineers across countries like the US, Ireland, Singapore, and China. For example, the role of “Machine Learning Engineer – Generative AI” in the United States explores the implementation of ML algorithms to process data in various Apple products by leveraging innovative generative models to build basic applications. doing.
Another of the company’s roles in Generative AI, “Proactive Intelligence, Applied Research Scientist — Generative AI,” integrates ML/RL frameworks into its products to train agents at scale, and leverages cloud services to train agents at scale. We are looking into enabling scalable and distributed training/simulation of the behavior of . Predict multimodal using techniques such as Monte Carlo, TD learning, and policy approximation.
Sriprada concludes: “Based on Apple’s strong hiring drive in the AI space, the company appears poised to follow in the footsteps of industry peers who have made significant progress in this area and embrace generative AI.”
