Machine Learning Engineered
33 episodes - English - Latest episode: about 3 years ago - ★★★★★ - 3 ratingsThis podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
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Episodes
Diving Deep into Synthetic Data with Alex Watson of Gretel.ai
April 20, 2021 10:00 - 1 hour - 36.5 MBAlex Watson is the co-founder and CEO of Gretel.ai, a startup that offers APIs for creating anonymized and synthetic datasets. Previously he was the founder of Harvest.ai, whose product Macie, an analytics platform protecting against data breaches, was acquired by AWS. Learn more about Alex and Gretel AI: http://gretel.ai Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter ...
A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)
March 30, 2021 14:00 - 1 hour - 45.2 MBRadek Osmulski is a fully self-taught machine learning engineer. After getting tired of his corporate job, he taught himself programming and started a new career as a Ruby on Rails developer. He then set out to learn machine learning. Since then, he's been a Fast AI International Fellow, become a Kaggle Master, and is now an AI Data Engineer on the Earth Species Project. Learn more about Radek: https://www.radekosmulski.com https://twitter.com/radekosmulski Every Thursday I send out the ...
From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)
March 23, 2021 10:00 - 1 hour - 38.7 MBRodrigo Rivera is a machine learning researcher at the Advanced Data Analytics in Science and Engineering Group at Skoltech and technical director of Samsung Next. He's previously been in data science and research leadership roles at companies all around the world including Rocket Internet and Philip-Morris. Learn more about Rodrigo: https://rodrigo-rivera.com/ https://twitter.com/rodrigorivr Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy...
The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)
March 16, 2021 10:00 - 1 hour - 44.6 MBDan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics. Learn more about Dan: https://twitter.com/Dan_Jeffries1 https://medium.com/@dan.jeffries Every Thursday I send out the most useful things I’ve learned, curated specifically for t...
Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)
March 09, 2021 10:00 - 1 hour - 33.2 MBWillem Pienaar is the co-creator of Feast, the leading open source feature store, which he leads the development of as a tech lead at Tecton. Previously, he led the ML platform team at Gojek, a super-app in Southeast Asia. Learn more: https://twitter.com/willpienaar https://feast.dev/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter Follow Charlie on Twitter: https://t...
Bringing DevOps Best Practices into Machine Learning with Benedikt Koller from ZenML
March 02, 2021 10:00 - 1 hour - 40.7 MBBenedikt Koller is a self-professed "Ops guy", having spent over 12 years working in roles such as DevOps engineer, platform engineer, and infrastructure tech lead at companies like Stylight and Talentry in addition to his own consultancy KEMB. He's recently dove head first into the world of ML, where he hopes to bring his extensive ops knowledge into the field as the co-founder of Maiot, the company behind ZenML, an open source MLOps framework. Learn more: https://zenml.io/ https://maiot...
Starting an Independent AI Research Lab with Josh Albrecht from Generally Intelligent
February 23, 2021 10:00 - 1 hour - 39.2 MBJosh Albrecht is the co-founder and CTO of Generally Intelligent, an independent research lab investigating the fundamentals of learning across humans and machines. Previously, he was the lead data architect at Addepar, CTO of CloudFab, and CTO of Sourceress, which Generally Intelligent is a pivot from. Learn more about Josh: http://joshalbrecht.com/ http://generallyintelligent.ai/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine le...
Industrial Machine Learning and Building Tools for Data and Model Monitoring with Evidently AI Co-Founders Elena Samuylova and Emeli Dral
February 16, 2021 10:00 - 1 hour - 37.5 MBElena Samuylova and Emeli Dral are the co-founders of Evidently AI, where they build open source tools to analyze and monitor machine learning models. Elena was previously the head of the startup ecosystem at Yandex, director of business development at their data factory and chief product officer at Mechanica AI. Emeli was previously a data scientist at Yandex, chief data scientist at the data factory and Mechanica AI in addition to teaching machine learning both online and at multiple unive...
Managing Data Science Teams and Hiring Machine Learning Engineers with Harikrishna Narayanan (YC Stealth Startup)
February 09, 2021 10:00 - 1 hour - 34.9 MBHarikrishna Narayanan is the co-founder of a YC-backed stealth startup. He was previously a Principal Engineer at Yahoo, a Director in Workday's Machine Learning organization, and holds an M.S. from Georgia Tech. Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/li...
Lessons Learned From Hosting the ML Engineered Podcast (Charlie Interviewed on the ML Ops Community podcast)
February 02, 2021 10:00 - 1 hour - 29.5 MBLearn more about the ML Ops Community: https://mlops.community/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/listen Comments? Questions? Submit them here: http://bit.ly/mle-survey Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Timestam...
Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)
January 19, 2021 10:00 - 1 hour - 34.8 MBPavle Jeremic is the founder and CEO of Aether Biomachines, one of the most exciting ML-powered startups I've come across. His mission is to solve scarcity and Aether is the first step towards that. He was recently featured in Forbes' 30 under 30 in Manufacturing and holds a B.S. in Biomolecular Engineering from UC Santa Cruz. Learn more: Aether Biomachines Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up h...
Best of ML Engineered in 2020 Part 1 - ML Engineering
January 05, 2021 10:00 - 1 hour - 33.7 MBEvery Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/listen Comments? Questions? Submit them here: http://bit.ly/mle-survey Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Timestamps: 02:50 Josh Tobin: Research at OpenAI, Full Stack Deep L...
Solocast - Holiday Gratitude
December 22, 2020 10:00 - 12 minutes - 5.95 MBEvery Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/listen Comments? Questions? Submit them here: http://bit.ly/mle-survey Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Music Information Retrieval at Spotify and the Future of ML Tooling with Andreas Jansson of Replicate
December 15, 2020 10:00 - 1 hour - 43.2 MBAndreas Jansson is the co-founder of Replicate, a version control tool for machine learning. He holds a PhD from City University of London in Music Informatics and was previously a machine learning engineer at Spotify, researching and applying algorithms for music information retrieval. Learn more about Andreas: https://replicate.ai/ https://www.linkedin.com/in/janssonandreas/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learnin...
Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"
December 08, 2020 10:00 - 1 hour - 38.3 MBLuigi is the director of data science at 2U, where he leads a team in developing ML models and infrastructure to predict student success outcomes. He's also the founder of ML in Production, a blog and newsletter that helps readers build, deploy, and run ML systems. Learn more about Luigi: https://mlinproduction.com/ https://twitter.com/mlinproduction Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: h...
Coding Career Tactics - Salary Negotiation, Public Speaking, and Creating Your Own Luck w/ Shawn "swyx" Wang (AWS)
December 01, 2020 10:00 - 1 hour - 47.8 MBShawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent Coding Career Handbook. He's a graduate of Free Code Camp and Full Stack Academy now working at AWS as a Senior Developer Advocate. Learn more about Shawn: https://swyx.io/ https://www.learninpublic.org/ https://twitter.com/swyx Every Thursday I send out the most use...
Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field
November 24, 2020 10:00 - 1 hour - 42.6 MBYannic Kilcher is PhD candidate at ETH Zurich researching deep learning, structured learning, and optimization for large and high-dimensional data. He produces videos on his enormously popular Youtube channel breaking down recent ML papers. Follow Yannic on Twitter: https://twitter.com/ykilcher Check out Yannic's excellent Youtube channel: https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew Listen to the ML Street Talk podcast: https://podcasts.apple.com/us/podcast/machine-learning-s...
How to Get Ahead in Machine Learning with Zak Slayback (1517 Fund)
November 17, 2020 10:00 - 1 hour - 47.3 MBZak Slayback is a principal at 1517 Fund, a venture capital fund that prioritizes working with dropouts. He wrote the excellent book "How to Get Ahead", one of my most recommended books on careers, and runs Get Ahead Labs where he teaches how to write outstanding cold emails. Learn more about Zak: https://zakslayback.com/ https://www.1517fund.com/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http...
Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break)
November 10, 2020 10:00 - 1 hour - 42.3 MBLetitia Parcalabescu is a PhD candidate at the University of Heidelberg focused on multi-modal machine learning, specifically with vision and language. Learn more about Letitia: https://www.cl.uni-heidelberg.de/~parcalabescu/ https://www.youtube.com/channel/UCobqgqE4i5Kf7wrxRxhToQA Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter Follow Charlie on Twitter: https://twi...
Multi-Modality: the next frontier for machine learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break)
November 10, 2020 10:00 - 1 hour - 42.3 MBLetitia Parcalabescu is a PhD candidate at the University of Heidelberg focused on multi-modal machine learning, specifically with vision and language. Learn more about Letitia: https://www.cl.uni-heidelberg.de/~parcalabescu/ (https://www.cl.uni-heidelberg.de/~parcalabescu/) https://www.youtube.com/channel/UCobqgqE4i5Kf7wrxRxhToQA (https://www.youtube.com/channel/UCobqgqE4i5Kf7wrxRxhToQA) Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine ...
Moin Nadeem (MIT): The extraordinary future of natural language models
November 03, 2020 10:00 - 1 hour - 39 MBMoin Nadeem is a masters student at MIT, where he studies natural language generation. His research interests broadly include natural language processing, information retrieval, and software systems for machine learning. Learn more about Moin: https://moinnadeem.com/ https://twitter.com/moinnadeem Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: http://bit.ly/mle-newsletter Comments? Questions? Submit them here: http://bit.ly/...
Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster
October 27, 2020 10:00 - 1 hour - 34.6 MBPeiyuan Liao is the youngest Chinese Kaggle grandmaster at only 20 years old with numerous gold medals and 1st, 2nd, and 3rd place finishes. He helped research two deep learning papers while in high school and now researches adversarial attacks on graph neural networks at Carnegie Mellon. Learn more about Peiyuan: https://liaopeiyuan.github.io/ https://www.kaggle.com/alexanderliao Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter...
Shreya Shankar: Lessons learned after a year of putting ML into production
October 20, 2020 10:00 - 1 hour - 38.6 MBShreya Shankar is a Machine Learning Engineer at Viaduct AI. She's a master's student at Stanford and has previously worked at Facebook and Google Brain. She writes some truly excellent articles about machine learning on her personal blog, https://www.shreya-shankar.com/ Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: http://bit.ly/mle-newsletter Comments? Questions? Submit them here: http://bit.ly/mle-survey Follow Charlie on ...
Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production
October 13, 2020 10:00 - 1 hour - 31.9 MBJosh Tobin holds a CS PhD from UC Berkeley, which he completed in four years while also working at OpenAI as a research scientist. His focus was on robotic perception and control, and contributed to the famous Rubik's cube robot hand video. He co-organizes the phenomenal Full Stack Deep Learning course and is now working on a new stealth startup. Learn more about Josh: http://josh-tobin.com/ https://twitter.com/josh_tobin_ Want to level-up your skills in machine learning and software eng...
Sanyam Bhutani: Chai Time Data Science
October 06, 2020 10:00 - 1 hour - 40.6 MBSanyam Bhutani is a Machine Learning Engineer at H2O.ai and host of the Chai Time Data Science Show. Learn more about Sanyam: Website: https://sanyambhutani.com/ YouTube: https://www.youtube.com/c/ChaiTimeDataScience Chai Time Data Science: https://chaitimedatascience.com/ Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: https://mlengineered.ck.page/943aa3fd46 Take the Giving What We Can Pledge: https://www.givingwhatwecan.or...
Devon Bernard: "If you can sell it, I can build it"
September 29, 2020 10:00 - 1 hour - 46.9 MBDevon Bernard is an incredible full-stack engineer, manager, and entrepreneur. He's co-founded multiple companies including FlowActive, Jowl, and Rollio in addition to holding top engineering roles at Enlitic, Axgen, and now Somml. Learn more about Devon: https://www.linkedin.com/in/devonbernard/ Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 Take the Giving What We Can Pledge: https://www.giv...
Catherine Yeo: Fairness in AI and Algorithms
September 23, 2020 01:00 - 1 hour - 29.2 MBCatherine Yeo is a Harvard undergrad studying Computer Science. She's previously worked for Apple, IBM, and MIT CSAIL in AI research and engineering roles. She writes about machine learning in Towards Data Science and in her new publication Fair Bytes. Learn more about Catherine: http://catherineyeo.tech/ Read Fair Bytes: http://fairbytes.org/ Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 Ta...
Charles Yang: Machine Learning for Scientific Research
September 15, 2020 10:00 - 1 hour - 39.6 MBCharles Yang is an EECS masters student at UC Berkeley focusing on AI and dynamical systems. He writes the excellent Machine Learning For Science newsletter where he showcases a wide range of use cases for machine learning in scientific research and engineering. Learn more about Charles: Website: https://charlesxjyang.github.io/ Google Scholar: https://scholar.google.com/citations?user=BYOREdwAAAAJ&hl=en ML4Sci Newsletter (Highly Recommended!): https://ml4sci.substack.com/ Want to level-...
swyx (Shawn Wang): Coding Career Strategy
September 08, 2020 14:00 - 50 minutes - 52.3 MBShawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent Coding Career Handbook. He's a graduate of Free Code Camp and Full Stack Academy now working at AWS as a Senior Developer Advocate. Learn more about Shawn: Blog: https://swyx.io/ Book (Use code MLE30 for 30% off!): https://www.learninpublic.org/ Want to level-up your s...
Solocast: Learning Machine Learning
September 01, 2020 14:02 - 36 minutes - 37.1 MBWant to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Subscribe to ML Engineered: https://www.mlengineered.com/listen Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Timestamps: (03:00) How did I get exposed to computer science and what made me pursue it? (10:00) Why machine learning? (15:10) How did I learn ML? How ...
Karthik Suresh: Advice for Computer Science Students
September 01, 2020 14:01 - 1 hour - 79.2 MBKarthik Suresh works as a software engineer at Blend, the leading digital lending platform. He previously worked at Coursera, Biomedtrics, and KloudData. Learn more about Karthik: http://karthiksuresh.me/ Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Subscribe to ML Engineered: https://www.mlengineered.com/listen Follow Ch...
Jordan Dunne: What Engineers Should Know about Product and Program Management
September 01, 2020 14:00 - 1 hour - 88.2 MBJordan Dunne works as a Technical Program Manager at Google Payments. He previously worked as a Program Manager at Microsoft, Lead Forward-Deployed Engineer at Enlitic, and Product Manager at Vim. Learn more about Jordan: https://www.linkedin.com/in/jordanwdunne/ Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Subscribe to ML ...
Introducing Machine Learning Engineered
August 18, 2020 14:00 - 1 minute - 1.47 MBWant to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46