Startups · AI

Machine Learning Engineer, Multimodal Perception and Authentication

OpenAI · San Francisco · Remote

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About OpenAI

Backed by Greylock, Insight and Khosla.

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 sensors. You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems. Found on 1752vc Careers, the job board for startup and VC roles.

More about this role

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 learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments.

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 sensors.

You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems.

This role is based in San Francisco. We work in the office three days per week and offer relocation assistance.

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 that...

Read the full posting on OpenAI's site ↗

Consumer Devices

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