Senior Software Engineer

• Design, train and ship recommendation and ranking models - session-based embeddings, collaborative filtering, content and visual embeddings.
• Build and operate the Python services that serve them at low latency.
• Run the batch pipelines that rebuild model artifacts daily across hundreds of merchants.
• Design and read AB tests; decide what ships on the evidence.
• Own your deployments: containers, Kubernetes manifests, autoscaling, dashboards, alerts.
• Extend our LLM work - a shopping assistant and LLM-assisted catalogue enrichment - with proper evaluation behind it.

What Youʼll Bring to Maropost:

• 5+ years building machine learning systems, with at least 3 years of models serving live production traffic.
• Strong Python,(FastAPI or equivalent).
• Vector databases (Qdrant).
• Other ANN libraries - FAISS, Annoy, ScaNN. HNSWlib is what we run, but the trade-offs transfer.
• Hands-on recommender systems or search ranking experience: implicit feedback, embeddings, approximate nearest neighbour search.
• Solid SQL against analytical stores; ClickHouse experience is a plus.
• Comfortable with Docker and Kubernetes, and willing to own the deployment of your own work.
• Experience running AB tests and reporting results you did not like.
• Streaming systems (Pulsar, Kafka, Flink)
• You exemplify Maropost’s Values:

               Customer Obsessed 

               Extreme Urgency 

               Excellence 

               Resourceful