The author shares his personal experience and observations from his recent job search in the field. He notes that many companies are struggling to articulate the exact roles they are hiring for, and that the nature of the work can often be vague and subject to change. He also provides a list of companies he considered and his reasons for rejecting or accepting their offers. The author concludes by offering some practical advice for those seeking jobs in the field, including the importance of having a company-specific story and being able to discuss technical details of attention, multi-GPU training, and regularization tools.
Key takeaways:
- The AI job market is experiencing a shakeup with a high demand for talent in GenAI and LLMs, leading to high turnover and attrition in many companies.
- Top AI researchers are being offered substantial compensation packages, with base salaries reaching up to $1 million at companies like OpenAI.
- Companies like Google DeepMind and Meta are prioritizing projects related to large looming models and incremental model improvements respectively.
- The author predicts a slowdown in paper submissions at top ML conferences due to the drop in participation from Big Tech companies and changes in the population of graduate students in ML due to the increased financial opportunity costs of doing a PhD in AI.