Machine Learning Researcher - Edge & On-Device Innovation

Qualcomm

San Diego (CA)

On-site

USD 159,100 - 238,700

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Qualcomm Technologies, Inc. seeks a Machine Learning Researcher in the Engineering Group to drive fundamental ML research and develop methods that push beyond state-of-the-art for mobile, edge, auto, and IoT products.

You will collaborate with cross-functional teams to advance intelligent systems and scalable ML capabilities. Responsibilities include creating new models and training methods, publishing findings, and contributing to patents and technical demonstrations while documenting

Qualifications

  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Responsibilities

  • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
  • Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto‑ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
  • Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on‑device learning/training, edge‑cloud distributed/federated learning, and quantum machine learning).
  • Develops and publishes research findings in the form of presentations and conference papers.
  • Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
  • Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.

Skills

Machine Learning
Research

Education

Master's degree in Computer Engineering/CS/EE
PhD in Computer Engineering/CS/EE

Job description

Qualcomm Technologies, Inc. seeks a Machine Learning Researcher in the Engineering Group to drive fundamental ML research and develop methods that push beyond state-of-the-art for mobile, edge, auto, and IoT products.

You will collaborate with cross-functional teams to advance intelligent systems and scalable ML capabilities. Responsibilities include creating new models and training methods, publishing findings, and contributing to patents and technical demonstrations while documenting

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI Researcher: On-Device LLM & Edge ML
Senior AI Researcher: On-Device LLM & Edge ML

Qualcomm • San Diego (CA)

On-site
USD 159,000 - 239,000
Senior ML Engineer — Edge AI & Embedded Systems
Senior ML Engineer — Edge AI & Embedded Systems

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Edge ML Inference Engineer
Edge ML Inference Engineer

Qualcomm • San Diego (CA)

On-site
USD 123,000 - 184,000
ML Engineer: Model Optimization & Edge Deployment
ML Engineer: Model Optimization & Edge Deployment

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Senior Edge ML Engineer – On-Device AI
Senior Edge ML Engineer – On-Device AI

QUALCOMM, Inc. • San Diego (CA)

On-site
USD 194,000 - 292,000
Staff ML Engineer: Embedded AI & Hardware Co‑Design
Staff ML Engineer: Embedded AI & Hardware Co‑Design

linetgroup • San Diego (CA)

On-site
USD 158,000 - 238,000
Staff Machine Learning Engineer — Hardware-Software Co-Design
Staff Machine Learning Engineer — Hardware-Software Co-Design

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Senior Staff ML Engineer - Edge AI & On-Device Systems
Senior Staff ML Engineer - Edge AI & On-Device Systems

QUALCOMM, Inc. • San Diego (CA)

Hybrid
USD 194,000 - 292,000
Edge AI & Computer Vision Engineer
Edge AI & Computer Vision Engineer

Qualcomm • San Diego (CA)

On-site
USD 130,000 - 194,000
Senior Lead, Edge AI & On-Device ML Runtimes
Senior Lead, Edge AI & On-Device ML Runtimes

Qualcomm • San Diego (CA)

On-site
USD 194,000 - 292,000