Machine Learning Research Scientist (m/f/d) - Qualcomm Germany

13 Mar 2024
Job Information

Organisation/Company

Qualcomm

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

11 Apr 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Company:
Qualcomm Germany GmbH

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

The volume of video data is experiencing exponential year-on-year growth. Consequently, the cost of transmitting and storing video is rapidly becoming prohibitive for service providers, such as cloud and streaming platforms. These challenges increasingly necessitate the improvement of existing high-performance video codecs. For this purpose, Qualcomm's Multimedia R&D Standards Group is seeking a machine learning research scientist to help develop the next generation of AI-enabled video codecs, leveraging recent advancements in generative AI. You will be part of world-class team of renowned data compression experts that have successfully developed many of the algorithms and systems video platforms use today. The candidate should be self-directed, highly motivated and demonstrate a passion for generative vision models, along with their deployment to the edge (e.g. on Qualcomm's NPU). You will work on, but not be limited to, developing novel applications of AI methods in video compression.

Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities:

• Contribute to the conception and implementation of new algorithms for improved video compression.
• Initiate ideas, design and implement algorithms for computationally lightweight model architectures.
• Represent Qualcomm in standardization forums: JVET, MPEG Video and ITU-T/VCEG.
• Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

• Prior expertise in one or more aspects of generative models of video data (e.g., optical flow, implicit neural representations, video or single-image super-resolution, diffusion models, density estimation, transformers, etc.)
• Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.).
• Highly proficient Python programming skills, and familiarity with PyTorch.
• Strong written and verbal English communication skills, great work ethic, and ability to work in a high-performing environment.
• PhD or Master's degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
• Some knowledge of video compression algorithms, such as ECM, VVC, HEVC, H.264, and AV1.

Minimum Qualifications:

• PhD or Masters degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. • 3+ years of experience in machine learning and AI, either in an academic or industry research lab.
• Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.).

Preferred Qualifications:

• Hands-on experience with foundation vision models.
• Prior expertise in one or more aspects of generative models of video data (e.g., optical flow, implicit neural representations, video or single-image super-resolution, diffusion models, density estimation, transformers, etc.)
• Familiarity with techniques in neural network quantization, pruning and/or model distillation.
• Experience in training distributed networks (e.g. pipeline parallelism).

Excited about this role, but not sure if you meet 100% of the criteria? We would still like to hear from you and would welcome your application.

What's an offer:

• Salary, stock and performance related bonus
• Employer-financed pension schemes
• Employee Stock Purchase Program
• Job Bike, Job Ticket
• Fitness Studio discount
• and many more

This is a full-time position based in our office in Munich, Germany.

If this is you, then consider being part of our team and apply today!

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Qualcomm

Country

Germany

Geofield

Where to apply

Website

https://illbeback.ai/job/machine-learning-research-scientist-m-f-d-qualcomm-ger…

STATUS: EXPIRED