【Will the real AI Research Engineer please stand up?】
According to a report by Gartner, AI will displace about 1.8 million jobs but produce 2.3 million new jobs by 2020. A lot of that growth will come from AI itself, such as AI research engineers. If you're a founder working on AI technology, you may be hard-pressed to find quality engineers that can do the job. Many won't have experience, so what are some factors you can look into to find a good AI research engineer?
Next week, Jason from AW#17 Ai4quant will be speaking about AI research engineers: from finding them to helping them figure out what role they will play in your startup. At a high level, here are some signals that the person you're looking at is suitable to be an AI engineer:
1. They've joined a Kaggle competition and developed machine learning algorithms.
2. They've joined an AI-related hackathon and have a finished project in their portfolio.
3. They've used Jupyter Notebook to practice data science with statistics and machine learning algorithms.
4. They shared their learning experiences for AI/ML on a blog post.
5. They earned an AI/ML-related degree.
6. They published some AI/ML research papers.
7. They have a personal website or GitHub to host their AI-related portfolio.
Don't miss out on a great event next week deconstructing what it means to work in the field of AI!
We're also now accepting applications for AW#19. If you're working on an AI or Blockchain startup, considering joining the largest founder community in Greater Southeast Asia >> http://bit.ly/2ImYPa2
- Natalie Feng Lin, Analyst
