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Online Machine Learning Fellows Program

Create real-world Machine Learning applications.
Learn from battle-hardened mentors.

Boston | London | Paris | Remote

 

About the Program

The fellowship aims to bridge the gap between theory and practice, allowing fellows to work on real-world projects for innovative companies. You'll start building a portfolio of practical machine learning applications and you could get hired by one of our partners!

 
 
  • Intensive 4-month experience mixing theory and practice
  • No tuition fees, training costs covered by sponsors
  • Build real-world machine learning applications in a self-directed, collaborative environment
  • Work online and with our teams in Boston, London, Paris
  • Learn from your pairs and make a difference working on projects that go to production
  • Build a portfolio, get contacts, references and get a job at one of our sponsor companies

Mentors

Learn from battle-hardened mentors providing personal advice,
feedback and support as you work on your project.

Leonardo Noleto Lead Data Scientist at KPMG. Previously at OVH.

Leonardo
Noleto

Lead Data Scientist at KPMG. Previously at OVH.

Keiran Thompson, Ph.D. Research Scientist at Stanford. Previously at Datagami, BNP Paribas, UIUC.

Keiran
Thompson, Ph.D.

Research Scientist at Stanford. Previously at Datagami, BNP Paribas, UIUC.

Christophe Bourguignat CEO at Zelros. Previously at AXA, DataRobot, Supelec.

Christophe Bourguignat

CEO at Zelros. Previously at AXA, DataRobot, Supelec.

Vincent Van Steenbergen CTO at Millesime.ai. Trainer & Senior Data Engineer at W00t Data.

Vincent
Van Steenbergen

CTO at Millesime.ai. Trainer & Senior Data Engineer at W00t Data.

Louis Dorard, Ph.D. General Chair at PAPIs. Author of Bootstrapping ML. Previously at UCL.

Louis
Dorard, Ph.D.

General Chair at PAPIs. Author of Bootstrapping ML. Previously at UCL.

Natalino Busa Head of Applied Data Science at Teradata. Previously at ING.

Natalino
Busa

Head of Applied Data Science at Teradata. Previously at ING.

 
 

Application

Name *
Name
Location *
Where are you based?
Your current job or academic studies
http://
What's driving you to join PAPIs fellows?
Availability
Availability
When will you be ready to start?