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Open nowPosted 680 days ago

Internship

Plix8 open roles

Where
San Mateo
Work mode
On site
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Your applicationOpen nowInternshipPlix · San Mateo

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Plix's own form.

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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 680 days ago

The posting

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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