Machine Learning Engineer, Multimodal Perception and Authentication

The role

You will research and develop multimodal perception and authentication methods using visual, audio, and other sensing signals. You will work with specialized and large multimodal models to bring research into real-world systems.

What you will do

• 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.

Required qualifications

• 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.
• Experience bringing research ideas into practical systems, prototypes, or products.
• Knowledge of how to design experiments, build evaluations, and investigate model behavior.
• Experience working with sensing hardware, real-time systems, or other deployment constraints.
• Proficient in Python and PyTorch.
• Comfortable with C++ or systems integration.
• Experience with authentication, biometrics, or other privacy-sensitive applications.

Benefits

• Relocation assistance

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.