2 months ago
Base Salary
$342k - $399k/yr
Responsibilities
- 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 for real-world performance.
- Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.
- Integrate and validate capabilities in real-time or resource-constrained systems.
- Partner with hardware, firmware, software, and product teams to bring research into working systems.
Requirements
- 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.
- Ability to design experiments, build evaluations, and investigate model behavior.
- Experience with sensing hardware, real-time systems, or other deployment constraints.
- Proficiency in Python and PyTorch and comfort with C++ or systems integration.
- Experience with authentication, biometrics, or other privacy-sensitive applications.
Benefits
- San Francisco office-based role with three days per week in the office.
- Relocation assistance is offered.
- Reasonable accommodations are available for applicants with disabilities.
Categories
AI ResearchML Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.