Software Engineer, Applied ML (Discovery, Recommendation & Search)
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The role
Build and optimize ML-enabled backend systems powering discovery, recommendation, and search surfaces.
Collaborate cross-functionally with product, data science, and data platform teams to design and implement ML models and infrastructure—from ingestion to training and serving.
Develop high-performance services in a modern typed language, with robust CI/CD pipelines and automated testing.
Operate and optimize ML deployments in cloud environments (GCP, AWS, or Azure) and manage GPU/TPU resources for production workloads.
Work with vector databases and feature storage to support fast, scalable recommendations and AI-assisted search.
Bring a proactive, results-driven mindset to ship impactful features quickly in a fast-paced environment.
Collaborate cross-functionally with product, data science, and data platform teams to design and implement ML models and infrastructure—from ingestion to training and serving.
Develop high-performance services in a modern typed language, with robust CI/CD pipelines and automated testing.
Operate and optimize ML deployments in cloud environments (GCP, AWS, or Azure) and manage GPU/TPU resources for production workloads.
Work with vector databases and feature storage to support fast, scalable recommendations and AI-assisted search.
Bring a proactive, results-driven mindset to ship impactful features quickly in a fast-paced environment.
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