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Qualcomm

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Work type: On-site
Location: —
Posted: 31 days ago

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Similar $180k

$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.

Based on 239 similar postings.

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About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 745 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 423 roles with salary data.

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At a glance

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As a Senior Research Scientist at Qualcomm AI Research, you will lead high-impact research initiatives focused on generative AI, including Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, and Agentic AI. Your role involves transitioning cutting-edge models into practical applications by conducting efficient architecture research and developing solutions that address real-world challenges. You will collaborate with global teams to implement and evaluate these solutions in both simulation and on-device environments, contributing to Qualcomm’s strategic goals in embedded intelligence. The ideal candidate has a PhD or extensive industry experience in AI/ML, with a strong publication record in top-tier conferences like NeurIPS and ICML, and expertise in model development pipelines, optimization techniques, and efficient deployment on mobile devices.

Skills

Python PyTorch TensorFlow LLMs Multi-Modal Foundation Models Reinforcement Learning Agentic AI NeurIPS ICML ICLR CVPR ICCV ACL EMNLP Model Optimization Quantization Distillation On-device AI Deployment Mobile Edge Devices

What you'll do

Lead the transition of cutting-edge AI research into production-ready solutions for commercial impact.
Conduct advanced research on efficient generative AI models, including LLMs and Multi-Modal Foundation Models.
Develop practical solutions considering real-world challenges in device deployment.
Implement and evaluate AI solutions both in simulation and on-device environments to ensure effectiveness.
Publish findings in top-tier conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP.

What we're looking for

PhD in Computer Science or related field with 4+ years of AI research experience, or MS with 6+ years.
Proven publication record in top-tier AI/ML conferences like NeurIPS, ICML, ICLR.
Deep expertise in generative AI, LLMs, multi-modal foundation models, and reinforcement learning.
Hands-on experience with model development pipelines including training, fine-tuning, evaluation, and optimization.
Experience leading research initiatives that transition cutting-edge models into real-world applications.

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