Machine Learning Engineer

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 improve performance in real-world conditions.
• Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.
• Integrate and validate new capabilities in real-time or resource-constrained systems.
• Work with hardware, firmware, software, and product teams to turn research into working systems.

• Strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing.
• Experience developing specialized machine learning models, larger multimodal models, or both.
• Brought research ideas into practical systems, prototypes, or products.
• Know how to design experiments, build evaluations, and investigate model behavior.
• Worked with sensing hardware, real-time systems, or other deployment constraints.
• Proficient in Python and PyTorch and comfortable with C++ or systems integration.
• Experience with authentication, biometrics, or other privacy-sensitive applications.
• Enjoy working across disciplines on research problems that are still taking shape.

• Based in San Francisco, office three days per week.
• Relocation assistance offered.
• Equal opportunity employer.