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OpenAI · San Francisco, CA

Machine Learning Engineer, Multimodal Perception and Authentication

$342,000 – $399,000 / yearPosted today
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Stack mentioned

machine-learningopenaiembedded-systemscomputer-visionpythonpytorchc++artificial-intelligence

Research - San Francisco

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

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.

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

In this role, you will:

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Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals.

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Explore how specialized perception models and larger multimodal models can work together.

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Design dataance in real-world conditions.

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Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.

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Integrate and validate new capabilities in real-time or resource-constrained systems.

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Work with hardware, firmware, software, and product teams to turn research into working systems.

You might thrive in this role if you:

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Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing.

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Have experience developing specialized machine learning models, larger multimodal models, or both.

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Have brought research ideas into practical systems, prototypes, or products.

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Know how to design experiments, build evaluations, and investigate model behavior.

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Have worked with sensing hardware, real-time systems, or other deployment constraints.

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Are proficient in Python and PyTorch and comfortable with C++ or systems integration.

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Have experience with authentication, biometrics, or other privacy-sensitive applications.

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Enjoy working across disciplines on research problems that are still taking shape.

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 products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$342K – $399K + Offers Equity

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