/sci/ - Science & Math

>https://www.deepmind.com/publications/a-generalist-agent

>The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens.

>By scaling up and iterating on this same basic approach, we can build a useful general-purpose agent.

I want to become a research scientist at DeepMind. I'm currently getting my bachelor in informatics (computer science) at a great STEM university and I'm also planing to get a master and PhD, because those are the requirements they listed on their website. That aside, what do I have to do to raise my odds of actually landing a job there? I have 0 work experience and I don't know what a career in the scientific field is like. I'm looking to get internship after internship in each semester break, working on some personal machine learning projects on the side and perhaps also work at my university first, since we are also researching AI and robotics here. I just don't have a full grasp of what is expected from me and I don't want to apply in a few years, not get the job and then have to re-apply another few years later. Seems awkward.

Can I get some insight?