Our clients ML Platform team builds the infrastructure and models that power personalized experiences for millions of users across our clients e-commerce and content ecosystem. They work on large-scale recommendation, search, ads ranking, and GenAI applications similar to other social-commerce platforms.

Our clients engineers own the full ML lifecycle: data, training, serving, and experimentation at 10M+ QPS.

The Role

We are hiring aMachine Learning Engineer to build and optimize production ML systems. You will focus on one of these areas based on team fit: Feed Recommendation, Search Relevance, Ads Ranking, or GenAI Applications.

You will collaborate with ML Scientists, Backend Engineers, and Product to ship models that directly move metrics like engagement, conversion, and GMV.

What You’ll Do

• Production ML Systems : Design, implement, and maintain large-scale ML pipelines for training and online inference. ...