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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
- 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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