Machine Learning Engineer, Staff (Model Optimization)
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Embedded Systems
In short
As a Staff Machine Learning Engineer at Qualcomm, you will create and implement advanced ML techniques and tools for efficient AI solutions across various technology verticals. This role involves model architecture, development of optimized software for AI deployment on hardware, and leading experiments to train and evaluate ML models.
Responsibilities
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
- Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
- 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Desired Qualifications
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 3+ years experience working in a large matrixed organization.
- 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support your success at work, at home, and at play.
#Machine Learning#Model Optimization#AI#Inference#Training#Embedded Systems#NLP#Multi-media#Statistics#Probability#Operating Systems#Hardware#Software
Company
Qualcomm
Job Posted
17 hours ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant