Machine learning

The Best Machine Learning Podcasts to Sharpen Your Skills

Last updated: March 2026 In the fast-paced world of machine learning, staying up-to-date with the latest research, tools, and techniques is crucial. Podcasts are an invaluable resource for learning on the go, whether you're commuting, at the gym, or just taking a break. But with so many options out there, finding the best machine learning podcasts can be a challenge. That's where The Podcast App comes in. We've curated a list of the top-rated podcasts to help you level up your skills and knowledge.

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Top Picks

The Best Machine Learning Podcasts in 2026

For practitioners and the seriously curious — research, engineering, and the people pushing ML forward. Listen free in The Podcast App.

Listen to all 12 of these free in The Podcast App — with limited offline listening, no app-inserted ads, and optional AI summaries.

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  1. The TWIML AI Podcast cover art
    #1

    The TWIML AI Podcast

    Sam Charrington

    Sam Charrington's long-running, technical interviews with machine learning researchers and engineers.

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  2. Gradient Dissent cover art
    #2

    Gradient Dissent

    Lukas Biewald

    Weights & Biases talks with ML practitioners about getting models from research into production.

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  3. The Robot Brains Podcast cover art
    #3

    The Robot Brains Podcast

    Pieter Abbeel

    Berkeley's Pieter Abbeel interviews the researchers behind advances in AI and robotics.

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  4. Machine Learning Street Talk cover art
    #4

    Machine Learning Street Talk

    Machine Learning Street Talk (MLST)

    Rigorous, deep debates on the ideas and controversies at the heart of ML research.

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  5. Practical AI cover art
    #5

    Practical AI

    Practical AI LLC

    Applying machine learning in the real world — tools, MLOps, and production lessons.

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  6. Data Skeptic cover art
    #6

    Data Skeptic

    Kyle Polich

    Kyle Polich explains data science and ML concepts clearly, with skepticism and rigor.

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  7. The Gradient Podcast cover art
    #7

    The Gradient Podcast

    Daniel Bashir

    In-depth interviews with researchers across the breadth of modern AI and ML.

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  8. Talking Machines cover art
    #8

    Talking Machines

    Tote Bag Productions

    Conversations that make machine learning research accessible without dumbing it down.

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  9. Latent Space: The AI Engineer Podcast cover art
    #9

    Latent Space: The AI Engineer Podcast

    Latent.Space

    For engineers actually shipping ML in production, Latent Space is the consensus pick — weekly technical interviews with senior engineers and researchers from OpenAI, Anthropic, Databricks, and Meta on agents, infrastructure, and applied models. Start with "Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks" (June 24, 2026) — with the creators of Apache Spark and MLflow.

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  10. Super Data Science: ML & AI Podcast with Jon Krohn cover art
    #10

    Super Data Science: ML & AI Podcast with Jon Krohn

    Jon Krohn

    Jon Krohn's long-running, near-daily show is the most practitioner-focused option on this list, covering the ML and data-science career, tooling, and techniques with working data scientists — over a thousand episodes deep. Start with "1004: Recursive Self-Improvement" (June 26, 2026).

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  11. The Cognitive Revolution cover art
    #11

    The Cognitive Revolution

    Erik Torenberg, Nathan Labenz

    Hosted by AI builder Nathan Labenz, the show keeps technical and business leaders current with in-depth interviews of the researchers, founders, and engineers shipping frontier models — one of the fastest-publishing serious AI shows going. Start with "Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models" (July 4, 2026) — with the liquid-neural-network researcher.

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  12. Dwarkesh Podcast cover art
    #12

    Dwarkesh Podcast

    Dwarkesh Patel

    Dwarkesh Patel's unusually well-prepared long-form interviews with leading ML researchers — on scaling laws, reinforcement learning, and AGI timelines — have become required listening in the field, and every episode ships with a full transcript. Start with "Grant Sanderson - AI and the future of math" (June 30, 2026) — with the creator of 3Blue1Brown.

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FAQ

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The Podcast App is designed for learners. Features like AI Brain, Synthesis Radio, and advanced playback controls help you absorb and retain information more effectively than any other podcast player.

Yes, the core player is free core listening with no app-inserted ads. We believe in providing a premium listening experience for everyone.

Absolutely. You can easily import your subscriptions from any other podcast app using our OPML import feature.

For research and engineering both, start with The TWIML AI Podcast and Machine Learning Street Talk for depth, Latent Space for applied AI engineering, and Super Data Science for the data-science career and toolchain. For frontier research interviews, add the Dwarkesh Podcast and The Cognitive Revolution. Every show here offers free core listening in The Podcast App.

If you write ML code for a living, Latent Space is the consensus pick for applied AI engineering and agents, while Practical AI and Gradient Dissent focus on MLOps and getting models into production. Super Data Science covers tooling and career, and Data Skeptic keeps you rigorous on fundamentals. Follow a couple in The Podcast App for new-episode alerts as tools change.

The shows gaining the most ground in 2026 are the frontier-research interviews: the Dwarkesh Podcast, known for exceptionally well-prepared long-form conversations and full transcripts, and Nathan Labenz's The Cognitive Revolution, one of the fastest-publishing serious AI shows. On the applied side, Latent Space keeps setting the agenda for AI engineers. All three are free to follow with core listening included.

Every show on this page is available in The Podcast App with free core listening and no app-inserted ads. Download long technical interviews for offline listening, follow your favorites for new-episode notifications, and use the charts and personalized picks to surface new machine-learning and AI-engineering shows as the field moves.

Complete Guide

Mastering Machine Learning: Your Essential Podcast Companion

The field of machine learning is evolving at an incredible pace, making it challenging yet crucial to stay updated with the latest research, breakthroughs, and industry applications. Podcasts offer an unparalleled way to absorb complex information, hear from leading experts, and gain new perspectives while on the go. Whether you are a seasoned data scientist, an aspiring ML engineer, or simply curious about artificial intelligence, integrating machine learning podcasts into your learning routine can significantly sharpen your skills and broaden your understanding. They provide a flexible and accessible format for continuous professional development, allowing you to transform commute times or daily chores into valuable learning opportunities.

Choosing the right machine learning podcasts can be overwhelming given the vast array of options. Look for shows that feature in-depth interviews with researchers, cover practical case studies, or break down intricate algorithms into digestible segments. Consider podcasts that discuss both the theoretical underpinnings and the real-world implications of ML, including ethical considerations and future trends. A well-curated selection will not only keep you informed but also inspire new ideas and approaches in your own work. Prioritize content that aligns with your current learning objectives, whether that is mastering deep learning, understanding reinforcement learning, or exploring the business side of AI.

The Podcast App is designed to elevate your machine learning podcast experience, making it easier than ever to learn and retain complex information. Our innovative Podcast Brain can search eligible transcript-backed moments from your listening history. This is particularly invaluable for machine learning topics, where clarifying concepts quickly can accelerate your learning curve. Furthermore, The Podcast App provides a listening experience with no app-inserted ads, ensuring uninterrupted focus on intricate discussions. You can also download episodes for offline listening, adjust variable playback speeds to match your comprehension, and seamlessly integrate with CarPlay for convenient access during your travels.

Beyond its powerful AI capabilities, The Podcast App offers a suite of features tailored for serious learners. Enjoy crystal-clear audio quality and a user-friendly interface that makes discovering new machine learning podcasts a breeze. with optional Premium for advanced features to access its core functionalities, it is available at no cost for both iOS and Android users, providing a premium listening experience without financial barriers. Embrace a smarter way to learn and stay ahead in the dynamic world of machine learning by leveraging The Podcast App’s comprehensive tools, designed to support your continuous growth and mastery of this transformative technology.

New in 2026

Machine-learning podcasting in 2026 split cleanly into two lanes, and both grew. On the practitioner side, the rise of agents and production LLMs made AI engineering its own discipline — Latent Space became the consensus pick for people shipping models, while Jon Krohn's Super Data Science passed a thousand episodes serving working data scientists. On the research side, long-form interview shows deepened: Dwarkesh Patel's conversations on scaling laws, reinforcement learning, and AGI timelines (each published with a full transcript) and Nathan Labenz's The Cognitive Revolution became go-to sources for tracking frontier work. The through-line was reasoning models and reinforcement learning displacing 2024's pure pre-training story — and a louder open-versus-closed debate, with figures like Databricks' Matei Zaharia arguing the open case on-mic.

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