Position Details
About this role
This role involves designing and evaluating multimodal reasoning models for Edge AI, collaborating with domain experts, and advancing AI capabilities beyond traditional modalities.
Key Responsibilities
- Develop multimodal reasoning models
- Evaluate and prototype models
- Apply knowledge distillation techniques
- Collaborate with AI experts
- Advance reasoning capabilities
Technical Overview
The technical environment includes deep learning frameworks like PyTorch and TensorFlow, with a focus on multimodal data such as time-series, audio, and video, within Edge AI applications.
Ideal Candidate
The ideal candidate is an AI researcher or engineer with experience in multimodal deep learning models, proficiency in PyTorch and TensorFlow, and a strong background in research and model evaluation for Edge AI applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in multimodal deep learning, No familiarity with PyTorch or TensorFlow, Limited research or model evaluation experience, Inability to collaborate across AI domains
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