Listing

Plixai

Internship

  • California
  • onsite
  • Intern
  • Internship

Posted

Free to apply. You’ll finish on the employer’s own site.

Skills mentioned
  • Machine Learning
  • Python
  • TensorFlow
About PlixPlix 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 OverviewAs 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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