April 21 + 22 /// 9:00 AM – 3:00 PM PDT
April 21 + 22
9:00 AM – 3:00 PM PDT
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A free virtual event on data engineering for applied Machine Learning

apply() is an event for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.

Featured Speakers

David Aronchick

Partner, Program Manager

Microsoft

Hendrik Brackmann

Director of Data Science and Analytics

Tide

Mike Del Balso

Co-Founder & CEO

Tecton

Ettie Eyre

Platform Engineering Lead

Cookpad

Sheila Hu

Senior Machine Learning Engineer

Etsy

Chip Huyen

Adjunct Lecturer

Stanford

Dr. Waleed Kadous

Head of Engineering

Anyscale

Aman Khan

Product Manager

Spotify

Stefan Krawczyk

Manager & Lead ML Platform Engineer

Stitch Fix

Valliappa Lakshmanan

Director

Google

David Liu

Head of ML & Signal Platforms

Pinterest

Hien Luu

Sr. Engineering Manager

DoorDash

Wes McKinney

CEO & Founder

Ursa Computing

Barr Moses

CEO & Co-Founder

Monte Carlo

Niall Murphy

Global Head of Azure SRE

Microsoft

Diego Oppenheimer

CEO

Algorithmia

Willem Pienaar

Feast Committer and Tech Lead

Tecton

Alex Ratner

Co-Founder & CEO

Snorkel AI

Michelle Ufford

CEO and Co-Founder

Noteable

Todd Underwood

Director

Google

Agenda

Check out our 30 educational talks delivered over two days of virtual conference:

Wednesday, April 21st, 9:00 AM – 3:00 PM Pacific Time

Thursday, April 22nd, 9:00 AM – 3:00 PM Pacific Time

See the Full Agenda

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