Senior Deep Learning Researcher — Edge AI & Model Efficiency

Qualcomm; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

Qualcomm AI Research in Amsterdam seeks a Senior Deep Learning Researcher to join the Model Efficiency team. The role focuses on on-device efficiency for LLMs/LVMs, including quantization, compression, and efficient data types.

You will lead research, publish results, and collaborate across teams to deploy innovations on edge devices. The ideal candidate has a PhD or equivalent, proven DL experience, and strong Python/PyTorch/JAX skills, with a track record of impactful research and

Qualifications

• PhD or equivalent with strong research track record.
• Hands-on experience with ML/DL model development and optimization.
• Proficiency in Python and DL toolkits (PyTorch/JAX).
• Strong problem-solving and collaboration skills.

Responsibilities

• Conduct research and rapidly iterate on DL-based models and algorithms.
• Collaborate with researchers and engineers to deploy ideas across devices.
• Publish findings in top-tier conferences/journals and engage with academia.

Skills

Python programming

Deep learning

Research

Collaborative mindset

Education

PhD in Machine Learning / related field

Master's degree in Computer Engineering / CS / EE

Tools

PyTorch

JAX

Job description

Qualcomm AI Research in Amsterdam seeks a Senior Deep Learning Researcher to join the Model Efficiency team. The role focuses on on-device efficiency for LLMs/LVMs, including quantization, compression, and efficient data types.

You will lead research, publish results, and collaborate across teams to deploy innovations on edge devices. The ideal candidate has a PhD or equivalent, proven DL experience, and strong Python/PyTorch/JAX skills, with a track record of impactful research and