Padmi
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Plix

AI body cameras · frontline worker safety

Internship

San Francisco Bay Area · OnsitePosted 2 months ago
Software engineeringInternFULL TIME
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Internship

San Mateo

Engineering

In office

Full-time

About Plix

Plix is a seed-stage startup with Stanford roots, supported by Samsara, Verkada, and Sequoia Capital. We are building the world’s first intelligent body cameras to provide real-time situational alerts to improve safety, security, and operational efficiency.

Position Overview

As an engineering intern, you will be a part of architecting, implementing, and deploying our vision. We want you to be comfortable with quick experimentation, collaborative design, and turning vision into product. Start date is flexible.

Responsibilities

  • Iterate with our founding team on the design and implementation of development processes for the SaaS and Machine Learning infrastructure solution, and subsequent iterations of the software
  • Debug, improve, and optimize Plix’s software and infrastructure to enable a reliable, performant, and scalable software ecosystem
  • Help to define and champion engineering standards and processes
  • Stay up-to-date on the latest technologies and AI research and migrate to the latest infrastructure types when needed

Requirements

  • Exceptional programming skills in Python
  • Capable of working with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives
  • Excellent communication skills and ability to turn vision into running software
  • Demonstrated record of working hard, being a trustworthy teammate, and holding yourself and others to high standards
  • A passion for collaboration and working with teams

Preferred Qualifications

  • Familiarity with interfacing with secure/private customer data, especially video

  • Experience working with computer vision libraries like OpenCV and FFmpeg

  • Experience with deployment of GPU backend systems and infrastructure

  • Experience deploying and managing TensorFlow or Torch models at scale

  • Advanced machine learning knowledge for training and building new models, especially related to large language models (LLMs)

  • Prior management experience and/or interest to grow into a leadership role

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