Apr 20, 20211h 19mS0
<p>Alex 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...
Business
Machine Learning Engineered
Hosted by Charlie You · Business · EN
About this Podcast:
This 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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Contact path
Public web form
Booking probability
19%
Guest openness
Selective
80/100
Required Score
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What is Machine Learning Engineered about?
This 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.
Who hosts Machine Learning Engineered?
Machine Learning Engineered is hosted by Charlie You. The show has published 32 episodes to date.
What has Machine Learning Engineered covered recently?
Recent episodes include "Diving Deep into Synthetic Data with Alex Watson of Gretel.ai" (20 April 2021, 79 minutes), "A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)" (30 March 2021, 98 minutes), and "From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)" (23 March 2021, 84 minutes).
How often does Machine Learning Engineered publish?
Machine Learning Engineered publishes roughly weekly, with episodes averaging 82 minutes across 32 episodes.
How hard is it to get booked on Machine Learning Engineered?
Booking probability for Machine Learning Engineered is 19%, and the host is rated Selective on guests. Machine Learning Engineered requires a Pod Score of 80 or higher. Machine Learning Engineered's contact route on record: public web form.
Who should pitch Machine Learning Engineered?
The strongest fits for Machine Learning Engineered are IT Services & Software Development. Machine Learning Engineered has a business audience.
About the host
Charlie You hosts Machine Learning Engineered, a business podcast with 32 episodes published.
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Recent episodes
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #27
A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)
Mar 30, 20211h 38mS0Radek 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...
Episode #26
From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)
Mar 23, 20211h 24mS0Rodrigo 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...
Mar 16, 20211h 37mS0Dan 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...
Episode #24
Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)
Mar 9, 20211h 12mS0Willem 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...
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Mar 2, 20211h 28mS0Benedikt 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...
Feb 23, 20211h 25mS0Josh Albrecht, 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...
Feb 16, 20211h 21mS0Elena 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...
- Feb 9, 20211h 16mS0
Hari 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...
- Feb 2, 20211h 4mS0
Learn more about the ML Ops Community: https://mlops.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...
Jan 19, 20211h 15mS0Pavle 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...
Machine Learning Engineered
Best of ML Engineered in 2020 Part 1 - ML Engineering
Jan 5, 20211h 13mS0Every 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 (http://bitly.com/mle-newsletter) Follow Charlie...
Machine Learning Engineered
Solocast - Holiday Gratitude
Dec 22, 202013 minS0Every 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 (http://bitly.com/mle-newsletter) Follow Charlie...
Dec 15, 20201h 34mS0Andreas 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...
Dec 8, 20201h 23mS0Luigi 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...
Dec 1, 20201h 44mS0Shawn 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...
Episode #14
Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field
Nov 24, 20201h 32mS0Yannic 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...
Nov 17, 20201h 43mS0Zak 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...
Nov 10, 20201h 32mS0Letitia 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...
Nov 3, 20201h 25mS0Moin 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...
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