Software Engineer, Generative AI, Shopping Quality

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• - Write product or system development code. - Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). - Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. - Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. - Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. - 1 year of experience in machine learning, generative AI, data mining or statistical modeling. - Experience with GenAI techniques (e.g., large language models, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision). Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields. - 2 years of experience with data structures and algorithms. - Experience developing accessible technologies. - Experience in prompt engineering, building or utilizing LLM-powered auto-evaluation and optimization systems. - Background in sequence/transformer modeling in other domains like speech, or experience with end-to-end ML application in products.