




Responsibilities:
Optimize Search Infrastructure: Analyze and refactor existing image and video search indexing pipelines to maximize computational efficiency and minimize operational costs.
Build Iterative Search Features: Design and implement a feedback-loop mechanism that captures positive and negative signals from previous search rounds to dynamically refine and improve search accuracy.
Develop Smart Sampling Strategies: Overhaul the indexing sampling strategy to intelligently select data based on contextual factors such as predefined critical events, geographic location, and surrounding environmental conditions.
Cross-Domain Collaboration: Bridge the gap between machine learning models and backend infrastructure to ensure search systems are both highly accurate and horizontally scalable.

Required Skills:
Machine Learning Fundamentals: Solid understanding of ML concepts, particularly in areas related to search relevance, ranking algorithms, or information retrieval.
Infrastructure & Backend Development: Strong programming proficiency (e.g., Python, C++, Go, or Java) with a focus on building, scaling, and maintaining robust backend infrastructure.
Algorithm Optimization: Demonstrated ability to analyze code, system architecture, and data pipelines to improve execution speed and resource efficiency.
Working with Large Datasets: Experience handling and processing high volumes of data, particularly unstructured formats like image and video files.

We are seeking a Software Engineer Intern to join our team and contribute to the development of externally shareable metrics dashboards. This project aims to:
Optimize existing image/video search indexing to make it really efficient/cost effective to run.
Enhance both image/video search with an iterative search feature so we can based on previous rounds of iteration to accurately collect positive/negative signals and greatly improve search results.
Improve Image/video search indexing sampling strategy so that it will do a smart sample based on different factors like important predefined events, geo location, surrounding environment, etc.
Area of work: Infrastructure, Machine Learning

申请链接:
https://jobs.lever.co/plus-2/012a2134-8a6a-4982-8f25-f906178a24e4
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