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Tier-1 brand and attractive ML role but niche on-device multimodal skills limit broad applicant pool.
On-device multimodal ML and Snapdragon platform expertise limit cross-industry transferability.
Mandatory multimodal ML, on-device optimization, specific frameworks and degree requirements make filtering strict.
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Design and develop multimodal AI models in audio, vision, and language domains using transformers, diffusion models, and fusion techniques.
Optimize and deploy AI models specifically on Snapdragon platforms (CPU, DSP, NPU) for mobile, XR, and IEOT devices.
Collaborate cross-functionally to transition research prototypes into scalable, production-ready AI solutions and support commercialization.
Master’s or Ph.D. in Electronics, Computer Science, Electrical Engineering, or related field OR Bachelor's degree with relevant experience.
2+ years of experience in computer vision, natural language processing, audio, or multimodal AI research or industry roles.
Proficiency in PyTorch or TensorFlow and experience with on-device AI optimization/deployment.
Work Experience Required: Minimum 2 years in related AI domains as specified; specific notice period not mentioned.
Experienced in multimodal AI and generative AI techniques including transformers, CNNs, diffusion models, and vision-language systems.
Able to work effectively in cross-functional global teams intersecting research, hardware, system software, and productization functions.
Senior-level researcher/developer with practical experience building production-grade AI solutions optimized for embedded/mobile platforms.