Pros
Plenty of opportunities to work on real-world machine learning problems, exposure to large-scale data, supportive colleagues, fast-paced culture that encourages growth and continuous learning.
Cons
Work-life balance can be challenging at times due to tight deadlines, rapid changes in priorities, and the need to adapt quickly in a high-pressure startup-like environment.