Member of Technical Staff - Machine Learning
San Mateo
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- 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
Qualification wording
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
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
Tools in this posting
- PyTorch
- TensorFlow
- Python
Source — Tool mentions in context
- 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
Requirements - Strong programming skills and proficiency in Python - Experience with libraries such as OpenCV, and frameworks like TensorFlow or PyTorch for vision-related tasks
About Plixai
Plix is a seed-stage startup with Stanford roots, supported by Samsara, Verkada, and Sequoia Capital.
In the employer’s words · Read in context
Job 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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Mateo
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 47
- Last seen by us
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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