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Senior Search Quality Engineer, Machine Learning Expert
2 months ago
We are seeking a highly skilled Machine Learning Engineer II to join our team at Amazon, responsible for transforming Amazon Search using Large Language Models (LLMs). As a key member of our team, you will design and develop online ML systems and automated offline training pipelines, optimize latency and throughput of production models, and implement large-scale data processing for model pre-training and fine-tuning.
Key Responsibilities- Design and Develop Online ML Systems: Design and implement online ML systems that can handle large volumes of data and provide accurate results.
- Optimize Model Performance: Optimize the performance of production models to ensure they meet the required latency and throughput standards.
- Implement Large-Scale Data Processing: Implement large-scale data processing for model pre-training and fine-tuning, ensuring that the models are trained on diverse and representative data.
- Scale Inference: Scale inference to serve Amazon customers with tight SLAs, ensuring that the models can handle large volumes of requests.
- Collaborate with Principal Engineers and Scientists: Work closely with principal engineers and scientists to build systems that will stand the test of time, ensuring that the models are robust and scalable.
- Conduct A/B Tests: Conduct A/B tests to measure the customer impact of new models, ensuring that the models are providing value to customers.
We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality worldwide. We are committed to delivering high-quality search results to our customers, and we are looking for talented individuals who share our passion for machine learning and search quality.
Requirements- Professional Experience: 3+ years of non-internship professional software development experience, with a focus on machine learning and data processing.
- Design and Architecture Experience: 2+ years of non-internship design or architecture experience, with a focus on design patterns, reliability, and scaling.
- Programming Experience: Experience programming with at least one software programming language, with a focus on machine learning and data processing.
- Machine Learning Experience: Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
We offer a competitive salary, equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits. Our compensation reflects the cost of labor across several US geographic markets, and we are committed to providing a total compensation package that is attractive to top talent.
