Member of Technical Staff - Machine Learning
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Before you apply
LocationSan Mateo, United States
Typefull-time
SeniorityLead
DepartmentEngineering
Company size8+ people
PostedJan 24, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jan 24, 202575% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
OpenCV
TensorFlow
PyTorch
Whisper
Speech-to-Text APIs
GPU
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
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Deploy machine learning and computer vision models on cloud infrastructure and fine-tune for performance
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Design scalable infrastructure for model versioning, monitoring, and automated updates to ensure reliability and performance
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Analyze data, refine prompts, and improve model accuracy for video and image processing tasks
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Research the latest multimodal and computer vision advancements to integrate into our workflows
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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