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Member of Technical Staff - Machine Learning

Plix

  • San Mateo
  • 30+ days ago

    Highlights

    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. Preferred Qualifications Experience working with or deploying video and/or multimodal large language models (LLMs) for tasks such as captioning, summarization, or question answering.

    Numbers & Facts

    LocationSan Mateo

    Description

    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 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

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