Google DeepMind's AI playbook for engineering at hyperspeed | Philipp Schmid

What if the traditional engineering career path is being fundamentally rewritten by AI?  We"re joined by Philipp Schmid, Senior AI Developer Relations Engineer at Google DeepMind, to explore how artificial intelligence is not just a tool, but a force reshaping engineering roles, team dynamics, and the foundational methods of skill development. Philipp, with his background at Hugging Face and now at the cutting edge with Google DeepMind, offers a unique perspective on the rise of AI-native teams and engineers who learn faster, work more broadly, and drive innovation at an unprecedented scale. Philipp offers an inside look at Google DeepMind"s engine of AI innovation and breaks down the key differences between Google"s flagship Gemini models and the versatile Gemma family of open models, detailing their distinct purposes.We also touch upon exciting takeaways from the recent Google I/O event, including powerful new on-device capabilities and the mind-blowing text-to-video generation with Veo. Finally, Philipp shares practical advice for engineers and their organizations on navigating this AI-driven landscape, emphasizing continuous learning, an adaptable mindset, and how to effectively leverage a diverse AI toolkit to thrive. Check out:Download: The 6 trends shaping the future of AI-driven development  Follow the hosts:Follow BenFollow Andrew Follow today"s guest:Twitter: @philschmidLinkedInGitHub (philschmid)Learn more about Google DeepMind"s models: Google AI Studio Referenced in today"s show:OpenAI"s latest partner: Mattel | LinkedIn I Read All Of Cloudflare"s Claude-Generated Commits AI coding assistants aren’t really making devs feel more productive - LeadDev Congratulations on creating the one billionth repository on GitHub Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever