Machine Learning Engineer

If you shop online (and who doesn’t these days?), then chances are you’ve already interacted with Yotpo. We’re a leading eCommerce retention marketing platform, on a mission to help brands of all sizes turn one-time shoppers into customers for life. Loyalty programs, SMS and email marketing, subscriptions, and reviews are our bread and butter, but we have more solutions up our sleeve, too.

We have teams across the world, including the US, Canada, UK, Israel, Bulgaria, and Australia — and we’re still growing. Our primary goal is to deliver the best technology in the industry.

You can hear all about it in our latest brand video.

Sounds exciting? Then read on, because we’re in pursuit of the best and the brightest minds to help us achieve our vision.

Yotpo is looking for a 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 group is at the heart of Yotpo’s innovative solutions. Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as  Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision 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. / M.Sc. in Computer Science.
• 0-2 years of experience in software development - preferably as an ML engineer, big data developer or backend developer.
• At least 1 year of experience developing in python - including academic experience such as a final project, advanced courses, student positions etc.
• Outstanding achievements in fundamental computer science courses - Data Structures, Algorithms, Systems Programming, Object Oriented Programming.
• Fast learner.

Significant Advantages:

• Experience working with a cloud technology stack (e.g., AWS, Azure).
• Academic background or professional experience in big data development (e.g., databases, distributed systems).
• Significant project in machine learning or big data development.
• Academic background in Machine Learning or related topics.
• Experience with Spark or SQL.

Advantages:

• High GPA (90+).
• Experience working with git.

#LI-Hybrid