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Key job responsibilities
You will build distributed systems that are powered by LLMs and multi-modal ML models. The GenAI based systems are responsible for handling continuous incoming traffic of products entering the catalog, classifying them using an ensemble of ML models and techniques, building applications for analyzing product composition, mining product signals such as images, text and unstructured data to drive true understanding of product knowledge. As an engineer you will work to build solutions to real world problems, partnering closely with Scientists working in cutting edge machine learning, natural language processing, computer vision and artificial intelligence. The ideal candidate has worked on systems productionizing LLM and multi-modal ML based systems in one or several of the following fields: Generative Artificial Intelligence, Prompt Engineering, Classification Systems, Clustering, Natural Language Processing, Search, Personalization, Streaming Infrastructure and MLOps. A successful candidate will have an established background in building innovative systems from inception to production, scaling systems with large data sets, developing customer-facing experiences, and making data-driven decisions.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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