webinar register page

Webinar banner
From Data Scientist to Machine Learning Engineer
Are you interested in taking your Data Science career to the next level by becoming a Machine Learning Engineer?

Join Data Science Salon and Springboard for a live webinar on Thursday, July 16th, where we'll cover how to transition from data science to machine learning engineering.

At the end of the webinar, we'll share some helpful resources to help you get started in your career transition from Data Scientist to Machine Learning Engineer.


1. What is Machine Learning Engineering

2. From Data Science to Machine Learning

3. Springboard's Machine Learning Career Track

• Curriculum Depth
• Learning Methodology
• Program Structure & Job Guarantee
• Q&A

Jul 16, 2020 01:00 PM in Pacific Time (US and Canada)

Webinar logo
* Required information


Sébastien Arnaud
Lead Subject Matter Expert @Springboard
Sebastien has over 17 years of experience working in Data Science, Software Engineering, and Machine Learning Engineering. He reached the Master level on Kaggle.com in 2014 for his past competitive entries, in particular for his real-time competitive solution for the “Job Salary Prediction” using Lucene similarities and Genetic Programming, which ranked him in the top 150 machine learning professionals in March 2013. Sebastian is responsible for the structure of the Machine Learning Engineering Career Track, the philosophy of the program, and the engineering units.
Lucy Chen
Technical Instructional Designer @Springboard
Lucy Chen led the design of Springboard's Machine Learning Engineering program. She is in charge of leading effective learning experiences with a scientific mindset at Springboard. Previously, she led projects at Linkedin Learning, NovoEd, and Minerva Schools.