Junior Machine Learning Engineer

If you're into online shopping (who isn't these days?), chances are you've crossed paths with Yotpo. We're all about eCommerce retention—helping brands of every size turn one-time shoppers into lifelong customers.

Think loyalty programs, SMS and email marketing, and reviews—it's what we do best. Plus, we've got more tricks up our sleeve.

With teams spread across the globe—from the US and Canada to the UK, Israel, Bulgaria, and Australia—we're growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.

Sounds exciting? Then read on, because we're looking for curious professional talents to be a part of building the future of the e-commerce industry.

Yotpo is looking for a Junior Machine Learning Engineer to join our Data Science group. We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science team is at the heart of Yotpo's innovative solutions. Our team works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Computer Vision, Recommendation Systems and more.

You will:

Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff :)

Must have:

B.Sc. in Computer Science (Graduate level)
Experience developing in python - significant final project or student position.
Outstanding achievements in fundamental computer science courses - Data Structures, Algorithms, Systems Programming, Object Oriented Programming etc.
Advanced courses in big data development (e.g., databases, distributed systems) - MUST

Academic courses in Machine Learning - MUST

Significant Advantages:

A significant final project in machine learning or big data development.
Experience with Spark or SQL.
Experience working with git.
Experience working with cloud environments (e.g., AWS, GCP, Azure).

#LI-Hybrid