[D] Monthly Who's Hiring and Who wants to be Hired?

· Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Expert, quick

Summary

Reddit's r/MachineLearning community hosts a monthly "Who's Hiring and Who wants to be Hired?" thread, providing a structured platform for job postings and job seeker profiles. Employers must specify location, salary, remote/relocation options, employment type, and a brief overview. Job seekers follow a similar template, including salary expectations, remote/relocation preferences, employment type, and a resume link. The community emphasizes that it is geared towards experienced professionals. One user noted a 14% decrease in US AI hiring since ChatGPT's release and Oracle's 40% salary reduction for rehiring, contrasting with Abu Dhabi's active hiring of senior ML roles at market rates, with FEIE potentially exempting over $132K. Capital Normal University in Beijing, China, is actively recruiting for full-time faculty and research positions across all ranks in its College of Artificial Intelligence, seeking PhD holders with strong publication records in various AI/ML domains.

Key takeaway

For AI/ML professionals navigating the current job market, be aware of regional disparities; while US AI hiring shows a downturn, international hubs like Abu Dhabi and Beijing offer competitive opportunities, particularly in academic research. If you possess a strong publication record and a PhD, consider faculty or research roles in institutions like Capital Normal University. Tailor your job search to specific geographic markets and leverage structured platforms to highlight your experience effectively.

Key insights

AI job market trends vary significantly by geography and role, with specific opportunities in academia.

Principles

Method

To apply for faculty positions at Capital Normal University, submit a single PDF containing CV, 3-5 publications, research statement, and recommendation letters to t116@cnu.edu.cn.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Scientist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.