Machine Learning Engineer, Staff (Model Optimization)

MaC VC; San Diego (CA); On-site; USD 162,000 - 243,000; Full time

Job summary

Qualcomm Technologies, Inc. in the United States is seeking a Machine Learning Engineer to create and implement machine learning techniques, frameworks, and tools that enable state-of-the-art ML solutions across mobile, edge, auto, and IoT products.

You will collaborate with cross-functional teams to enhance ML hardware and software for broad tech verticals. The role involves developing optimized software for ML models on hardware, training and inference framework improvements, and leadership in

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware, Software, or Systems Engineering experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware, Software, or Systems Engineering experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware, Software, or Systems Engineering experience.

Responsibilities

• Leverages advanced ML knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Models, architects, and develops advanced ML hardware (co-designed with ML software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (kernels, compiler tools, or model efficiency tools) in collaboration with hardware teams.
• Develops and applies ML techniques into products/AI solutions to enable customers to do the same.
• Adapts or prototypes novel ML solutions aligned with proposals/roadmaps for complex products and features.
• Oversees and conducts experiments to train and evaluate ML models and software.

Skills

Machine Learning

Python

C/C++

Embedded systems

Linux

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

TensorFlow

Caffe

Caffe2

PyTorch

Keras

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications

• 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.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or related field.


• 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).


• 3+ years experience working in a large matrixed organization.


• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.


• 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).

Principal Duties And 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.

Level Of Responsibility

• Works independently with minimal supervision.


• Provides supervision/guidance to other team members.


• Decision-making is significant in nature and affects work beyond immediate work group.


• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.


• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).


• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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EEO Employer

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range And Other Compensation & Benefits

$162,000.00 - $243,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.