✨ About The Role
- The role involves developing and enhancing search retrievals and ranking models, including optimizing lexical search and designing semantic models.
- The Machine Learning Engineer will collaborate with product managers, data scientists, and platform engineers to build a state-of-the-art search recommender system.
- Responsibilities include designing and building pipelines that facilitate user access to high-quality answers and recommendations.
- The position requires deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.
- This role is high-impact, involving technical and product strategy, operations, architecture, and execution for one of the largest sites in the world.
âš¡ Requirements
- The ideal candidate will have 3-10+ years of industry experience as a machine learning engineer or software engineer.
- A strong background in developing backend infrastructure at scale is essential for success in this role.
- Proficiency in machine learning frameworks such as PyTorch or TensorFlow is required.
- Experience with search and recommender systems, as well as building production-quality code, is crucial.
- The candidate should have a deep understanding of industry-scale recommendation systems and be familiar with large-scale data stacks.