# The Science-Engineering Blend - ML 146

Page: https://stenobird.com/podcast/adventures-in-machine-learning/the-science-engineering-blend-ml-146
Text version: https://stenobird.com/podcast/adventures-in-machine-learning/the-science-engineering-blend-ml-146.md
Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning)
Published: 2024-04-04T10:00:00+00:00
Episode link: https://www.spreaker.com/episode/the-science-engineering-blend-ml-146--59316433
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59316433/ml_146.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/the-science-engineering-blend-ml-146
Duration seconds: 3109

## Resource

Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the research and testing processes, the importance of thorough research, the value of teamwork, and the challenges of transitioning between engineering and science. With analogies, real-world examples, and expert perspectives, they shed light on the intricacies of these roles and the considerations for hiring scientists and engineers based on company size and market effects. Tune in for a thought-provoking discussion on finding the optimal path between efficiency and innovation in the world of technology and research! Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

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## Transcript

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