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Intern- Deep Learning Researcher

at Qualcomm

Back to all Data Science / AI / ML jobs
Q
Industry not specified

Intern- Deep Learning Researcher

at Qualcomm

InternshipNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
South Korea

Qualcomm Korea is seeking an Intern Deep Learning Researcher to develop new theories and algorithms for edge AI. The role covers areas such as speech recognition/generation, multimodal context, anomaly detection, lifelong and few-shot learning, unsupervised/self-supervised, federated learning, meta-learning, domain adaptation, deep generative models, and representation learning. The intern will work with teams in Seoul and collaborate with San Diego, Amsterdam, and Beijing to bring AI to edge devices. Candidates should have Python, hands-on deep learning with PyTorch, and basic ML and signal processing knowledge.


Company:

Qualcomm Korea YH

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - SW

Qualcomm 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.

General Summary:

We are making AI technology be around us at edge devices, attend and assist people and learn from interaction without many labels, together with other devices in a federated way. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, and Beijing.

We are looking for the deep-learning researchers interested in developing new theories and algorithms on the following areas:

• Speech recognition/Speaker recognition
• Speech generation
• Multi-modal context aware
• Anomaly detection
• Life-long learning
• Few-shot learning
• Unsupervised / semi-supervised / self-supervised learning
• Federated learning
• Meta-Learning: few-shot learning
• Domain adaptation / knowledge transfer
• Deep generative models
• Representation learning
• Adversarial attacks, examples

Minimum Qualifications
• Python Programming
• Deep learning with hands-on experience of deep learning tools, e.g. PyTorch
• Basic knowledge and development experience on machine learning and signal processing

Applicants: 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 myhr.support@qualcomm.com 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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.

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

Intern- Deep Learning Researcher

at Qualcomm

Back to all Data Science / AI / ML jobs
Q
Industry not specified

Intern- Deep Learning Researcher

at Qualcomm

InternshipNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
South Korea

Qualcomm Korea is seeking an Intern Deep Learning Researcher to develop new theories and algorithms for edge AI. The role covers areas such as speech recognition/generation, multimodal context, anomaly detection, lifelong and few-shot learning, unsupervised/self-supervised, federated learning, meta-learning, domain adaptation, deep generative models, and representation learning. The intern will work with teams in Seoul and collaborate with San Diego, Amsterdam, and Beijing to bring AI to edge devices. Candidates should have Python, hands-on deep learning with PyTorch, and basic ML and signal processing knowledge.


Company:

Qualcomm Korea YH

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - SW

Qualcomm 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.

General Summary:

We are making AI technology be around us at edge devices, attend and assist people and learn from interaction without many labels, together with other devices in a federated way. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, and Beijing.

We are looking for the deep-learning researchers interested in developing new theories and algorithms on the following areas:

• Speech recognition/Speaker recognition
• Speech generation
• Multi-modal context aware
• Anomaly detection
• Life-long learning
• Few-shot learning
• Unsupervised / semi-supervised / self-supervised learning
• Federated learning
• Meta-Learning: few-shot learning
• Domain adaptation / knowledge transfer
• Deep generative models
• Representation learning
• Adversarial attacks, examples

Minimum Qualifications
• Python Programming
• Deep learning with hands-on experience of deep learning tools, e.g. PyTorch
• Basic knowledge and development experience on machine learning and signal processing

Applicants: 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 myhr.support@qualcomm.com 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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.

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

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