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 Engineering Team Leader to join our Data Science Group. We are a fast-growing company that is building a multi-product platform for eCommerce brands, and Data Science 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, Reinforcement Learning, NLP, Computer Vision, Recommendation Systems and more.

You’ll be:

• Leading a team of ML engineers within our Data Science group.
• Lead the entire software lifecycle of various AI-based solutions for Yotpo’s eCommerce marketing products while taking ownership of our entire production environment.
• Collaborate with our research team to design & develop AI-based solutions in different domains - ML, DL, RL, NLP, CV, Gen. AI, RecSys.
• Mentor and coach team members, providing guidance on technical challenges and career development.
• Lead by example, fostering a culture of innovation, collaboration, and continuous improvement within the team.

Your experience:

• B.Sc. in Computer Science or Electrical Engineering.
• 2+ years of experience as a team leader.
• 4+ years of hands-on experience in ML engineering, Big Data engineering or MLOps.
• 2+ years of experience of writing python code using machine learning frameworks like PyTorch, Tensorflow or scikit-learn.
• Strong academic background in machine learning, algorithm design and system design.
• Experience with big data cloud platforms and frameworks (e.g., AWS, Spark).
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
• Strong problem-solving skills and attention to detail.
• Proven ability to manage multiple projects simultaneously.

Advantages:

• Advanced degree in Computer Science (M.Sc., Ph.D.).
• Experience leading large-scale solutions based on ML, NLP, DL, RL, CV or recommendation systems in a production environment.

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