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Machine Learning Engineer, Multimodal Perception and Authentication

OpenAI · Consumer Devices

Location
San Francisco, California, United States · Remote
Metro
San Francisco Bay Area
Workplace
Hybrid
Level
Unspecified
Type
Full-time
Pay
$342K–$399K/yr (published by employer)
Posted
2 months ago
Source
Ashby

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PythonC++PyTorch

What the posting covers

About the Team

The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine…

About the Role

We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other…

In this role, you will

Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals. Explore how specialized perception models and larger multimodal models can work together. Design data, training, and evaluation approaches…

You might thrive in this role if you

Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. Have experience developing specialized machine learning models, larger multimodal models, or both. Have brought research ideas into practical…

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our…

Machine Learning Engineer, Multimodal Perception and Authentication — OpenAI · CSJobTracker