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        Search Relevance Engineer - US

        Xcede
        United States
        REMOTE US / UK / EU
        Search Relevance Engineer - REMOTE US/UK/EU - Eastern time preferred - About the role - We are looking for an experienced Search Relevance Engineer to help shape and optimise the search experience for millions of users. This role sits at the intersection of engineering and data science, focusing on search relevancy, ranking models, and query understanding. You will work closely with Product, Engineering, DevOps, and Data teams to design and deliver strategic projects that directly impact customer experience. What youll be doing * Fine-tuning keyword search (including BM25), query expansion, and retrieval methods (ANN dense retrieval, sparse retrieval, semantic search). * Applying techniques such as entity/name density recognition, query understanding, query rescorers, and learning-to-rank models. * Experimenting with embeddings and vector search to improve personalisa
        Search Relevance Engineer - REMOTE US/UK/EU - Eastern time preferred - About the role - We are looking for an experienced Search Relevance Engineer to help shape and optimise the search experience for millions of users. This role sits at the intersection of engineering and data science, focusing on search relevancy, ranking models, and query understanding. You will work closely with Product, Engineering, DevOps, and Data teams to design and deliver strategic projects that directly impact customer experience. What youll be doing * Fine-tuning keyword search (including BM25), query expansion, and retrieval methods (ANN dense retrieval, sparse retrieval, semantic search). * Applying techniques such as entity/name density recognition, query understanding, query rescorers, and learning-to-rank models. * Experimenting with embeddings and vector search to improve personalisa
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        As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. * Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. * Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. We seek engineers with strong technical skills and an understanding of AI model implementation, eager to make a tangible impact in this rapidly evolving field. * Proficiency in deep learning frameworks like PyTorch/JAX. * Familiar with deep learning fundamentals: models, optimisation, evaluation
        As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. * Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. * Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. We seek engineers with strong technical skills and an understanding of AI model implementation, eager to make a tangible impact in this rapidly evolving field. * Proficiency in deep learning frameworks like PyTorch/JAX. * Familiar with deep learning fundamentals: models, optimisation, evaluation
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        NEW
        Machine Learning Engineer - LLMs / Generative AI - They're seeking a Machine Learning Engineer to help transform cutting-edge research into production-grade systems. We're working with a pioneering tech organisation driving the next wave of generative AI. * Designing and scaling infrastructure, workflows, and tools to power Large Language Models (LLMs). * Partnering with researchers to overcome challenges in agent-generated code. * Building frameworks for annotation, training, and model development at scale. * 4+ years' experience in ML/AI (LLMs, recommender systems, data mining, or similar). * Proven hands-on work with LLM agents / generative AI. * Strong coding in Python with PyTorch / TensorFlow. * Advanced debugging, experimentation, and optimisation skills. * Master's or PhD in Computer Science, AI, ML, or related field. * Resear
        Machine Learning Engineer - LLMs / Generative AI - They're seeking a Machine Learning Engineer to help transform cutting-edge research into production-grade systems. We're working with a pioneering tech organisation driving the next wave of generative AI. * Designing and scaling infrastructure, workflows, and tools to power Large Language Models (LLMs). * Partnering with researchers to overcome challenges in agent-generated code. * Building frameworks for annotation, training, and model development at scale. * 4+ years' experience in ML/AI (LLMs, recommender systems, data mining, or similar). * Proven hands-on work with LLM agents / generative AI. * Strong coding in Python with PyTorch / TensorFlow. * Advanced debugging, experimentation, and optimisation skills. * Master's or PhD in Computer Science, AI, ML, or related field. * Resear
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