How do I pitch Machine Learning Engineered as a podcast guest?

To pitch Machine Learning Engineered, visit https://www.mlengineered.com for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent business coverage.

Who is the host of Machine Learning Engineered?

Machine Learning Engineered is hosted by Charlie You. The show is categorised under Business (Careers) and has published 32 episodes.

How many episodes does Machine Learning Engineered have?

Machine Learning Engineered has published 32 episodes.

What topics does Machine Learning Engineered cover?

Machine Learning Engineered regularly covers Business, Careers, Science, Technology. It sits in the Business category, with a Careers focus.

Is it hard to get booked on Machine Learning Engineered?

Machine Learning Engineered is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is Machine Learning Engineered currently accepting guest pitches?

Machine Learning Engineered hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are Machine Learning Engineered episodes?

Episodes of Machine Learning Engineered average 82 minutes, giving guests a long-form format with plenty of time to expand on their expertise.

What guest credentials does Machine Learning Engineered typically look for?

Our data rates Machine Learning Engineered's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Business

Machine Learning Engineered

Hosted by Charlie You · Business · EN · 32 episodes

Apple Podcasts Website

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.

Pitch Analysis

Required Pod Score for this show. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

19%

Guest openness

Selective

80/100

Required Score

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What is Machine Learning Engineered?

Machine Learning Engineered is a business podcast hosted by Charlie You, with 32 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

About the host

Charlie You hosts Machine Learning Engineered, a business show 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 #28
Diving Deep into Synthetic Data with Alex Watson of Gretel.ai
Apr 20, 20211h 19mS0
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 protecting against data breaches, was acquired by AWS.Learn more about Alex and Gretel AI:http://gretel.aiEvery 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://twitter.com/Ch...
Listen Show Notes
Episode #27
A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)
Mar 30, 20211h 38mS0
Radek 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://www.radekosmulski.com) https://twitter.com/radekosmulski (https://twitter.com/radekosmulski) Every Thursday I send out the most useful things I’ve learned, curated specifically for the bu...
Listen Show Notes
Episode #26
From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)
Mar 23, 20211h 24mS0
Rodrigo 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://rodrigo-rivera.com/) https://twitter.com/rodrigorivr (https://twitter.com/rodrigorivr) 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 (https://www.cyou.ai/newsletter) Follow Charlie on Tw...
Listen Show Notes
Episode #25
The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)
Mar 16, 20211h 37mS0
Dan 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://twitter.com/Dan_Jeffries1) https://medium.com/@dan.jeffries (https://medium.com/@dan.jeffries) Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: ht...
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Episode #24
Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)
Mar 9, 20211h 12mS0
Willem 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://twitter.com/willpienaar) https://feast.dev/ (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 (https://www.cyou.ai/newsletter) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Su...
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Guest Appearances

Recent guests on Machine Learning Engineered. Study who booked and why before you pitch.

Shawn Wang

Senior Developer Advocate at AWS, Latent Space

Alex Watson

Gretel.ai

Radek Osmulski

Earth Species Project

Dan Jeffries

Pachyderm

Advertisers on this show

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Best industries to pitch Machine Learning Engineered for

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Businessstrong

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.

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FAQs

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Agency tiers have no base fee. You pay per managed client and per talent profile. Agency Standard is $199 per client per month; Agency Pro is $399 per client per month. Both add $39 per talent profile per month. Your own team's user seats are always free.

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A talent profile represents one person (founder, executive, or spokesperson) you are booking onto podcasts. It includes their bio, topics, headshots, and outreach history. Team plans include 5 profiles; agency plans are pay-as-you-go.

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What if I have more than 50 profiles or 20 clients?

That is our Enterprise tier. Contact our sales team and we will build a custom plan with volume pricing, a dedicated account manager, and SLA guarantees.

Every question we get asked before
someone starts their trial.

If you have a concern about deliverability, AI quality, data privacy, or whether this will actually work for your specific situation, it's probably answered below.

What is the difference between Founder Solo and Founder Pro?

How do agency tiers work?

What is a talent profile?

Can I switch plans later?

Yes, at any time. Upgrades take effect immediately; downgrades apply at the end of the current billing period. Contact support if you need help migrating between plan families.

Do you offer a free trial?

Every paid plan includes a 15-day free trial. Your card is saved at signup but you will not be charged until day 16. Cancel any time from your dashboard.

What happens if I cancel?

You keep access until the end of your current billing period. No charges after that. Your data is retained for 30 days in case you reactivate.

Is the 20% annual discount automatic?

Yes. Select Annual on the pricing toggle and the discounted price is applied automatically at checkout. The annual price shown is the full year cost.

What if I have more than 50 profiles or 20 clients?

That is our Enterprise tier. Contact our sales team and we will build a custom plan with volume pricing, a dedicated account manager, and SLA guarantees.

Machine Learning Engineered

About this Podcast:

Pitch Analysis

What is Machine Learning Engineered?

About the host

Recent episodes

Diving Deep into Synthetic Data with Alex Watson of Gretel.ai

A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)

From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)

The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)

Guest Appearances

Shawn Wang

Alex Watson

Radek Osmulski

Dan Jeffries

Advertisers on this show

Best industries to pitch Machine Learning Engineered for

Podcasts like Machine Learning Engineered

Every question we get asked beforesomeone starts their trial.

Machine Learning Engineered

About this Podcast:

Pitch Analysis

What is Machine Learning Engineered?

About the host

Recent episodes

Diving Deep into Synthetic Data with Alex Watson of Gretel.ai

A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)

From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)

The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)

Guest Appearances

Shawn Wang

Alex Watson

Radek Osmulski

Dan Jeffries

Advertisers on this show

Best industries to pitch Machine Learning Engineered for

Podcasts like Machine Learning Engineered

Every question we get asked beforesomeone starts their trial.

Every question we get asked before
someone starts their trial.

Every question we get asked before
someone starts their trial.