ML Data Associate, Amazon Search Relevance MeasurementAmazon Search Relevance is building AI enabled Search which is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems.
That is why, Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses and we need your help with solving the gaps in human-technology interaction by identifying and solving gaps in Search results across 21 locales.
We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. We want to inflate the scope of thinking, dive into the abyss of knowledge and exhume the pearls of creativity. The future is now, do you want to be a part of it? Then read on!
Your day to day job will be snapshotting Amazon Search retail site and understanding gaps in Head, Torso, Tail queries across Softlines, Hardlines, Consumables and Digital products. Your job will be to generate such business insights and reports which convert into actionable insights for Machine Learning Engineers to improve Search models.
Key job responsibilities
Ensure strict confidentiality and adhere to all policies for securing information, prioritizing customer privacy, while responsibly handling diverse data types (text, speech, image, audio, video). Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software
• Creative thinking and excellent written communication skills
• Work on testing for workflow launches if required
• Report issues with tools and software as and when they occur.
• Show Ownership and initiative when providing feedback for improvements to existing tooling that can scale the quality of the data we process - we believe every ground-breaking change starts with a small idea!
We are looking for a Data Associate (DA) to undertake the task of foundational labeling functions, such as evaluation of goldset queries to generate benchmarking study to improve multi-modal performance in customer experiences.
Your adaptability, focus, and attention to detail in a dynamic environment must be unparalleled, with a commitment to foster the safe, responsible, and effective development of AI technologies. You pride yourself on identifying issues and developing elegant and innovative solutions to overcome hurdles.. You will be a part of a diverse team with the shared vision to improve customers' lives with practical, useful AI innovations, while also establishing and implementing the necessary safeguards to protect them.. An inner drive, individuality, and a creative mind are extremely beneficial.
About the team
You'll work with a team that provides data creation, curation, and analytics services to help develop, test, and train new Search Matching and Ranking Amodels. We work closely with Machine Learning (ML) Science and Modelling teams, providing the critical data they need to improve the company's natural language understanding capabilities.
• Bachelor's degree in a relevant field or equivalent.
• Proficiency in English grammar and spelling (verbal)
• High and demonstrated proficiency in English written communication.
• Eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Research skills to navigate and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
• To be flexible in work timing and be ready at hand to meet delivery targets.
• Good written and verbal communication
• Knowledge of Search domain and ecommerce
• Knowledge of SQL and basic scripting
• Good knowledge of how Search performance is measured in terms of NDCG, precision and recall.
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