Drimva

Qualcomm

Machine Learning Researcher

$159K–$239K

San Diego, California · On-site · Full-time · Posted Sep 17, 2026

Experience
Master's route: 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; PhD route: no additional years stated. Also requires 6+ months developing and/or optimizing machine learning models, systems, platforms, or methods.
Education
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field, or PhD in one of those fields or a related field.

About the job

Conducts fundamental machine learning research, develops new models and methods, and advances efficient machine learning systems and platforms for device and cloud applications.

What you'll do

  • Researches and develops machine learning models, training methods, algorithms, and innovative solutions.
  • Drives systems and platform innovations for efficient machine learning, including on-device, cloud, and distributed computing.
  • Tests, optimizes, documents, and publishes research findings in presentations and conference papers.

What they ask for

  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field, plus 2+ years of relevant work experience; OR a PhD in one of those fields or a related field.
  • 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Nice to have

  • 2+ publications at a machine learning conference.
  • 1+ year of machine learning research experience related to new models, systems innovations, platforms, or methodology.

Pay

$159,100.00 - $238,700.00 USD base salary

Tools

deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, graph NNs, quantization

AI focus

Fundamental machine learning research, including new models and training methods, model efficiency, auto-ML, on-device learning, distributed/federated learning, and quantum machine learning.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)