Deep Learning and Optimization Researcher at Qualcomm
San Diego, CA
About the Job
Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Machine Learning Researcher
Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm AI Research is looking for world-class researchers and engineers in machine learning and deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Led by world-renowned pioneering machine learning researcher, Max Welling, members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won the major deep learning competitions, such as the ImageNet large scale visual recognition challenge and visual wake word challenge. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.
The R&D work responsibility for this position focuses on the following
Fundamental machine learning research in the area of ML combinatorial optimization and its applications, using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
Study of methods to integrate learning with search to solve important industrial problems such as efficient computation, resource allocation, and optimal network architecture.
Research the relation of learning methods to classical optimization and search theory to develop new theoretical ideas to guide algorithm development.
Identify new applications that benefit from the increased power to solve complex optimization problems.
Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design.
Required Skills:- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. - 2+ years Systems Engineering or related work experience. Preferred Skills:- MS or PhD in Computer Science, Engineering, or related field
- Extensive experience in deep neural networks (e.g. Graph NN, CNN, RNN, Attention/Transformer) and deep reinforcement learning.
- Expertise in machine learning theory and optimization methods (e.g., Bayesian optimization, dynamic programming, reinforcement learning, stochastic tree search methods such as MCTS, unsupervised learning), as well as fundamentals in classical optimization problems (e.g., shortest path, TSP, min-cut) and solutions (e.g., Djikstra, Held-Karp)- Proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow, Caffe). Designing the network for an embedded device is a plus. - Track record of research excellence and high-quality publications (e.g. NeurIPS, CVPR, ICML, ICLR, SysML).
- Experience helpful in: Model compression / quantization / optimization for embedded devices; Neural Architecture Search / kernel optimization; Computer vision; Audio and speech / NLP; Deep Generative Models (VAE, Normalizing-Flow, ARM, etc)
Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
Employment Notices for US-based Job Postings
Equal Employment Opportunity (https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf)
"EEO is the Law" Poster Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf)
Pay Transparency NonDiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)
Employee Polygraph Protection Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)
Family Medical Leave Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf)
Rights of Pregnant Employees (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/12/Your-Rights-and-Obligations-as-a-Pregnant-Employee_ENG.pdf)
Discrimination and Harassment (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/10/Workplace-Discrimination-Poster_ENG.pdf)
California Family Rights Act (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/12/CFRA-and-Pregnancy-Leave_ENG.pdf)
Prepare and succeed
Qualcomm Interview FAQs (https://www.qualcomm.com/company/careers/faqs)
Employment Fraud Alert
We have received reports of employment scams that seek financial or personal information from job candidates. Please note these communications are fraudulent. Click here (https://www.qualcomm.com/employment-fraud-alert) to view our Employment Fraud Alert.
Job Area:Engineering Group, Engineering Group > Machine Learning Researcher
Job Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm AI Research is looking for world-class researchers and engineers in machine learning and deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit (https://github.com/quic/aimet) to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Led by world-renowned pioneering machine learning researcher, Max Welling, members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won the major deep learning competitions, such as the ImageNet large scale visual recognition challenge and visual wake word challenge. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.
The R&D work responsibility for this position focuses on the following
Fundamental machine learning research in the area of ML combinatorial optimization and its applications, using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
Study of methods to integrate learning with search to solve important industrial problems such as efficient computation, resource allocation, and optimal network architecture.
Research the relation of learning methods to classical optimization and search theory to develop new theoretical ideas to guide algorithm development.
Identify new applications that benefit from the increased power to solve complex optimization problems.
Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods for model compression, quantization, architecture search, and kernel/graph compiler/scheduling with or without systems-hardware co-design.
Required Skills:- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. - 2+ years Systems Engineering or related work experience. Preferred Skills:- MS or PhD in Computer Science, Engineering, or related field
- Extensive experience in deep neural networks (e.g. Graph NN, CNN, RNN, Attention/Transformer) and deep reinforcement learning.
- Expertise in machine learning theory and optimization methods (e.g., Bayesian optimization, dynamic programming, reinforcement learning, stochastic tree search methods such as MCTS, unsupervised learning), as well as fundamentals in classical optimization problems (e.g., shortest path, TSP, min-cut) and solutions (e.g., Djikstra, Held-Karp)- Proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow, Caffe). Designing the network for an embedded device is a plus. - Track record of research excellence and high-quality publications (e.g. NeurIPS, CVPR, ICML, ICLR, SysML).
- Experience helpful in: Model compression / quantization / optimization for embedded devices; Neural Architecture Search / kernel optimization; Computer vision; Audio and speech / NLP; Deep Generative Models (VAE, Normalizing-Flow, ARM, etc)
Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
Employment Notices for US-based Job Postings
Equal Employment Opportunity (https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf)
"EEO is the Law" Poster Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf)
Pay Transparency NonDiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)
Employee Polygraph Protection Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)
Family Medical Leave Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf)
Rights of Pregnant Employees (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/12/Your-Rights-and-Obligations-as-a-Pregnant-Employee_ENG.pdf)
Discrimination and Harassment (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/10/Workplace-Discrimination-Poster_ENG.pdf)
California Family Rights Act (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/12/CFRA-and-Pregnancy-Leave_ENG.pdf)
Prepare and succeed
Qualcomm Interview FAQs (https://www.qualcomm.com/company/careers/faqs)
Employment Fraud Alert
We have received reports of employment scams that seek financial or personal information from job candidates. Please note these communications are fraudulent. Click here (https://www.qualcomm.com/employment-fraud-alert) to view our Employment Fraud Alert.