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Key job responsibilities
In this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:
- Develop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.
- Create tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics
- Interface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and creating plan for deployment.
- Move quickly and navigate ambiguity, make short-term and long-term trade offs, and deliver incrementally.
- Work on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.
- 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
- Experience in developing machine learning pipelines, developing large language model or natural language understanding models.
- 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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