Machine Learning Engineer, Personalization
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The role
Line 1: You will work with in-house and third-party LLMs to solve language understanding challenges.
Line 2: You will fine-tune models and use retrieval augmented generation (RAG) to improve performance.
Line 3: You will design, build, evaluate, ship, and refine ML-powered content enrichment and recommendations features.
Line 4: You will drive optimization, testing, and tooling to improve the quality of enrichment assets; collaborate with data engineers, backend engineers, researchers, and product stakeholders.
Line 5: You will perform data analysis to establish baselines, inform product decisions, and stay current with the latest ML developments.
Line 6: You will promote agile processes, foster collaborative teams, and help build scalable ML systems in production.
Line 2: You will fine-tune models and use retrieval augmented generation (RAG) to improve performance.
Line 3: You will design, build, evaluate, ship, and refine ML-powered content enrichment and recommendations features.
Line 4: You will drive optimization, testing, and tooling to improve the quality of enrichment assets; collaborate with data engineers, backend engineers, researchers, and product stakeholders.
Line 5: You will perform data analysis to establish baselines, inform product decisions, and stay current with the latest ML developments.
Line 6: You will promote agile processes, foster collaborative teams, and help build scalable ML systems in production.
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