Machine Learning Engineer, Multimodal Perception and Authentication

📋 Description

• Research and develop multimodal perception and authentication methods across visual, audio, and
• 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
• 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.

🎯 Requirements

• Strong background in computer vision, audio or speech ML, multimodal learning, or sensing.
• Experience developing specialized ML models, larger multimodal models, or both.
• Proven ability to bring research ideas into practical systems, prototypes, or products.
• Skill in designing experiments, building evaluations, and investigating model behavior.
• Experience with sensing hardware, real-time systems, or deployment constraints.
• Proficiency in Python and PyTorch; comfortable with C++ or systems integration.

🎁 Benefits

• Relocation assistance for eligible candidates.
• Hybrid work model with in-office presence three days per week.
• OpenAI equity options as part of compensation package.