PlusAI

Physical AI

SoftwareEngineerIntern-Data

$0–0k Santa Clara, California, United States INTERNSHIP Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Software Engineer Intern - Data at PlusAI. Skills: Machine Learning Fundamentals, Infrastructure & Backend Development, Algorithm Optimization, Working with Large Datasets. development of externally shareable metrics dashboards. replace current dashboard system with a more suitable solution”

What You'll Achieve.

maximize computational efficiency; minimize operational costs; dynamically refine and improve search accuracy; intelligently select data based on contextual factors; ensure search systems are both highly accurate and horizontally scalable

Industry & Context.

Physical AI
Problems you'll solve

Analyze and refactor existing image and video search indexing pipelines to maximize computational efficiency and minimize operational costs; Design and implement a feedback-loop mechanism that captures positive and negative signals from previous search rounds to dynamically refine and improve search accuracy; Overhaul the indexing sampling strategy to intelligently select data based on contextual factors

What They're Looking For.

Must Have

programming proficiency (e. g. , Python, C++, Go, or Java), building, scaling, and maintaining robust backend infrastructure, analyze code, system architecture, and data pipelines to improve execution speed and resource efficiency, handling and processing high volumes of data, particularly unstructured formats like image and video files

Nice to Have

image and video processing techniques, feature extraction, working with vector embeddings, human-in-the-loop systems, reinforcement learning, systems that actively use user feedback to train or tune models, vector databases (e. g. , FAISS, Milvus), large-scale search engines (e. g. , Elasticsearch, Solr), geospatial data (GIS), temporal event logging, incorporating external metadata (like environmental factors) into datasets

What You'll Do.

development of externally shareable metrics dashboards

replace current dashboard system with a more suitable solution

facilitate the sharing of dashboards with customers

frontend chart development

Analyze and refactor existing image and video search indexing pipelines

Build Iterative Search Features

Design and implement a feedback-loop mechanism

Develop Smart Sampling Strategies

Overhaul the indexing sampling strategy

Bridge the gap between machine learning models and backend infrastructure

How You'll Work.

Team & Collaboration

Cross-Domain Collaboration

Full Job Description

## Description PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. 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 replace our current dashboard system with a more suitable solution that can facilitate the sharing of dashboards with our customers. The intern will be responsible for various aspects of this project, including data processing, data synchronization, metrics calculation, frontend chart development, data security, and access control. ## 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

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