{"podcast":{"title":"DataFramed","slug":"dataframed","podcast_index_feed_id":431413,"rss_url":"https://feeds.captivate.fm/dataframed/","website_url":"https://www.datacamp.com/podcast","image_url":"https://artwork.captivate.fm/4700b4b7-f386-4200-9a46-640458f2dcbd/5cfec01b44f3e29fae1fb88ade93fc4aecd05b192fbfbc2c2f1daa412b7c192.jpg","author":"DataCamp","episode_count":300,"summary":"Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.","last_synced_at":"2026-06-22T14:20:27.068154+00:00","page_url":"https://stenobird.com/podcast/dataframed"},"episode":{"title":"#362 How to Have a Machine Learning Career in 2026 | Marina Wyss, Senior Applied Scientist at Twitch","slug":"362-how-to-have-a-machine-learning-career-in-2026-marina-wyss-senior-applied-scientist-at-twitch","published_at":"2026-06-01T09:15:00+00:00","page_url":"https://stenobird.com/podcast/dataframed/362-how-to-have-a-machine-learning-career-in-2026-marina-wyss-senior-applied-scientist-at-twitch","show_page_url":"https://stenobird.com/podcast/dataframed","url":"https://www.datacamp.com/podcast","audio_url":"https://dts.podtrac.com/redirect.mp3/cohst.app/pdcst/6G1A6D/episodes.captivate.fm/episode/66271c74-12c8-4a57-ac6b-dfd0efcdcb2d.mp3","summary":"The role of the machine learning engineer is being rewritten in real time. AI coding assistants are absorbing parts of the day-to-day, planning and evaluation are eating up more of the week, and the lines between machine learning engineer, AI engineer, and data scientist are blurrier than ever. For anyone working in data and AI — or trying to break in — this shift changes what skills are worth investing in, what employers actually screen for, and how interviews are run. What's still worth learning? What does a competitive portfolio look like? And how do you stand out when a thousand applicants are using bots to apply? Marina Wyss is a Senior Applied Scientist at Twitch (an Amazon company), where she builds production AI and machine learning systems across content understanding, recommendations, and forecasting. She came into the field from a non-traditional background — a political science undergrad and a Master's in social data science in Berlin — and has held machine learning roles at Coursera and a Berlin-based statistical consultancy along the way. Outside her day job, Marina runs a popular AI/ML YouTube channel and weekly newsletter, and coaches people transitioning into machine learning from non-traditional careers. In this episode, Richie and Marina explore how AI is reshaping the machine learning engineer role, the shifting balance between coding and planning, why evaluation matters more than ever, the differences between ML engineer, AI engineer, and data scientist roles, how to break into the field from a non-technical background, what makes a strong portfolio project, the hiring process at big tech, how to prepare for technical interviews, networking strategies that actually work, what success looks like in your first few months on the job, and much more. Li…","meta_description":"The role of the machine learning engineer is being rewritten in real time. AI coding assistants are absorbing parts of the day-to-day, planning and evalua…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2871,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/dataframed/episodes/362-how-to-have-a-machine-learning-career-in-2026-marina-wyss-senior-applied-scientist-at-twitch/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/dataframed/362-how-to-have-a-machine-learning-career-in-2026-marina-wyss-senior-applied-scientist-at-twitch.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}