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. As a Founding Member of our Technical Staff, you will play a pivotal role in shaping the architecture, implementation, and deployment of our AI-driven vision. You’ll lead efforts to deploy and fine-tune state-of-the-art machine learning models and computer vision pipelines, build robust ML infrastructure, and ensure we remain at the forefront of multimodal AI advancements. We value quick experimentation, collaborative problem-solving, and the ability to transform vision into product. This role is ideal for someone passionate about mentoring and fostering a growth mindset in the early stages of Plix’s journey. Responsibilities
Deploy machine learning and computer vision models on cloud infrastructure and fine-tune for performance
Design scalable infrastructure for model versioning, monitoring, and automated updates to ensure reliability and performance
Analyze data, refine prompts, and improve model accuracy for video and image processing tasks
Research the latest multimodal and computer vision advancements to integrate into our workflows
Foster a collaborative engineering culture and help to define best practices
Requirements
Strong programming skills and proficiency in Python
Experience with libraries such as OpenCV, and frameworks like TensorFlow or PyTorch for vision-related tasks
Experience deploying and optimizing pre-trained machine learning and computer vision models
Video Analysis: Experience in video pre-processing, object detection, activity recognition, and other computer vision techniques
Collaboration & Communication: Strong communication skills with the ability to mentor, foster collaboration, and translate vision into practical solutions
Preferred Qualifications
Experience working with or deploying video and/or multimodal large language models (LLMs) for tasks such as captioning, summarization, or question answering
Experience working with or deploying transcription models for video or audio data (e.g., Whisper, Speech-to-Text APIs)
Knowledge of deploying and managing GPU-backed systems for large-scale ML and computer vision workloads
Interest or experience in management roles, with a focus on mentoring and team building
About Plix
Our mission is to increase the safety, security, and efficiency of the workforce that serves our communities and businesses.
