Software Engineer, Cross Border Science and Analytics

We are looking for a Software Development Engineer to join the XB Science team a centralized applied science function that builds and deploys ML-powered systems driving cross-border product discovery selection optimization compliance automation and demand forecasting across 20 international marketplaces. The SDE will partner directly with Applied Scientists to productionize scale and operationalize ML models that generate $100M in business impact annually.

Key job responsibilities
Own the end-to-end production deployment and scaling of ML models from SageMaker training pipelines to real-time/batch inference endpoints serving millions of ASINs across 20 country arcs
Build and maintain automated ML pipelines: data ingestion feature engineering model retraining inference orchestration (Cradle SageMaker Glue S3 Lambda)
Architect for zero-code-change market expansion design systems that scale to new countries languages and programs through configuration rather than re-engineering
Own production excellence: monitoring alerting on-call runbooks SLA adherence latency/IMR optimization and HOTW compliance
Build agentic AI infrastructure orchestration frameworks tool-use APIs and guardrails for AI agents

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 3 years of Video Games Industry (supporting title Development Release or Live Ops) experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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