OpenAI
Machine Learning Engineer, Multimodal Perception and Authentication
About this role
OpenAI's Future of Computing Research team seeks a machine learning engineer to develop multimodal perception and authentication systems that integrate visual, audio, and sensor data for consumer devices. You'll advance specialized and large-scale AI models while collaborating across hardware, firmware, and product teams to deploy research into real-world systems.
What you'll do
- Research and develop multimodal perception and authentication methods across visual, audio, and sensing signals
- Design data collection, training, and evaluation strategies for real-world robustness
- Analyze model behavior, failure modes, and performance under deployment constraints
- Integrate and validate capabilities in real-time or resource-constrained systems
- Explore synergies between specialized perception models and larger multimodal models
- Partner with hardware, firmware, software, and product teams to translate research into working products
What they're looking for
- Computer vision or audio/speech machine learning
- Multimodal learning and sensor fusion
- Python and PyTorch
- C++ or systems integration
- Experimental design and model evaluation
- Real-time systems and deployment optimization
- Authentication, biometrics, or privacy-sensitive applications
- Hardware integration and sensing constraints
Benefits
- Work on cutting-edge multimodal AI research
- Hybrid work arrangement (3 days per week in office, San Francisco)
- Relocation assistance provided
- Cross-disciplinary collaboration with hardware and product teams
- Opportunity to shape consumer AI products
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Describe a research project where you deployed a machine learning model in real-world conditions and how you handled performance degradation.
- How have you approached designing evaluations for multimodal systems that need to work across different sensing modalities?