MLconf

Sharing Lessons Learned in Machine Learning Best Practices

San Francisco, CA • October 24, 2024

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Who Should Attend?

Professionals across many industries and professions attend the MLconf machine learning conference to stay current on today’s application of machine learning techniques and practices.

 

Individuals with backgrounds in Data Science, Engineering, Software Development, Computer Vision, Research, Machine Learning, Deep Learning, AI, Robotics, Technical Leadership, Startup Founders, Investors and Advisors, Data Analysts and Managers, Product Managers, Professors and Students all attend to stay current with what innovations, techniques, and novel approaches their peers are using to develop and deploy production ready machine learning applications in industry today.

What You’ll Learn

Our next machine learning conference will be our San Francisco conference on Thursday, October 24, 2024. MLconf SF 2024 will feature speakers from our community who will share AI/ML algorithms, platforms, tools, best practices, tips and tricks, and lessons learned.

 

Grab your ticket and join peers from Google, SAP, Amazon, Stitch Fix, Optum, Meta, Apple, NVIDIA, AT&T, Home Depot, Spotify, Wayfair, DoorDash, Coinbase, Credit Karma, Foursquare, Wells Fargo, Morgan Stanley, PayPal, Cruise, eBay, IBM, CVS, Globant, TD Bank, Oracle, Starbucks, eBay, LinkedIn, ADP, AI Squared, Twilio, Salesforce, Black Creek Digital, Triplelift, Microsoft, Capital One, Red Hat, Mastercard, Toyota, Tryolabs, Getty Images, Gartner, Juniper Networks, Reddit, Humana, Instacart, Palo Alto Networks, Returnly, and many more who will be in attendance!

San Francisco, CA

Meet Our Speakers

Get excited for our upcoming MLConf event by getting to know some of our incredible past speakers. Check back soon for us to announce speakers for our upcoming event.

Dr. James R. Ashenhurst

23andMe
Senior Scientist I, Product R&D

Mary Grace Moesta

Databricks
Data Scientist

Kriti Kohli

IBM
Principal Data Scientist

Dr. Sarang Aravamuthan

Ericsson
Principal Scientist

Marcos Sainz

Returnly Technologies, Inc.
CTO & VP Engineering

Stacey Svetlichnaya

Weights & Biases
Deep Learning Engineer

Sophie Watson

Red Hat
Senior Data Scientist

Noam Brown

Meta AI
Research Scientist

Debasmita Das

Mastercard
Manager, AI Research & Cyber Intelligence

Anmol Suag

Blueshift
Data Scientist

Vid Jain

Wallaroo.AI
Founder & CEO

Chris Kachris

InAccel
CEO

Hanie Sedghi

Google Brain
Senior Research Scientist

Nitin Sharma

PayPal Risk Sciences
Senior Research Scientist

Harpreet Sahota

Comet
Data Scientist

June Andrews

Nike
Senior Director of Search Sciences

Abhijit Bose

Capital One
Managing Vice President

Bill Wright

Red Hat
Head of AI/ML business development and technical strategy for global verticals

Ryan Coffee

SLAC National Accelerator Laboratory
Sr. Scientist -- LCLS SRD / PULSE

Alessandro Magnani

WalmartLabs
Data Scientist

Ana-Maria Istrate

Chan Zuckerberg Initiative
Research Scientist

Jamila Smith-Loud

Google
User Researcher

Alex Dimakis

University of Texas at Austin
Associate Professor

Mike Tamir

Susquehanna International Group/UC Berkeley
Chief ML Scientist

Shon Burton

HiringSolved
Founder & CEO

Dr. Christy Persya Appadurai

Lumen Technologies
Senior Data Scientist

Jordan Volz

Continual
Director of Field Engineering

Alex Korbonits

Textio
Machine Learning Engineer

Sudeep Das

DoorDash
Engineer Manager, Applied Machine Learning

Kerry Weinberg

League
VP Data

Jonathan Jin

Spotify
Senior Machine Learning Engineer

Alex Smola

Amazon
Machine Learning Director

Igor Markov

Facebook
Research Scientist

Alina Beygelzimer

Yahoo Labs
Sr. Research Scientist

Sheng Zha

Amazon AI
Senior Applied Scientist

Allison Gilmore

Ayasdi
Data Scientist

Tickets start at $249 – Don't miss out on this event!

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Josh Wills

I love MLconf. Highest signal to noise ratio of any conference I attend.

Josh Wills

Don't miss a thing!



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