WE’RE SENDING YOU TO AN EXTERNAL SITE TO APPLY
Please verify the following information to apply to this job
PROCESSING APPLICATION
Hold tight! We’re comparing your resume to the job requirements…
ARE YOU SURE YOU WANT TO APPLY TO THIS JOB?
Based on your Resume, it doesn't look like you meet the requirements from the employer. You can still apply if you think you’re a fit.
Job Requirements of Staff Engineer - Machine learning:
-
Employment Type:
Full-Time
-
Experience:
Not Specified
-
Education:
Not Specified
-
Travel:
Not Specified
-
Manage Others:
Not Specified
-
Location:
Bengaluru, Karnataka (Onsite)
Do you meet the requirements for this job?
Staff Engineer - Machine learning
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm Bangalore AI Research is looking for world-class algorithm engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks. Active areas of research include human aware AI, image restoration RAW to RGB AI ISP tasks, data engineering, generative models and multi-modal fusion. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and model optimization tools to enable state-of-the-art networks to run on device with limited power, memory, and computation.
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.
Roles & Responsibilities
You will be part of a multi-disciplinary talented team working on on-device generative AI optimization. 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.
Key job responsibilities may include a subset of the following:
Developing machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.)
Developing learnable image signal processing (ISP) pipeline for image reconstruction and classification tasks
Work on training strategies and supporting deployment and commercialization for the machine learning features
Work on system and algorithmic design changes to improve machine learning inference speed
Lead teams to drive innovative research ideas and develop prototype in collaboration with other researchers and engineers.
Stay abreast with latest SOTA and actively shape latest research in the field.
Stay passionate at execution.
Contribute to purposeful innovation.
Engage with leads and stakeholders across business units to translate research into business impact.
Minimum qualifications:
Bachelor's degree in Computer Science, or related Engineering field with 12+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
OR
Master's degree in Computer Science, or related Engineering field with 8+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
OR
PhD in Computer Science, Engineering, or related Engineering field with 5+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
Working experience in machine learning and deep network architectures
Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow)
Strong background in image and signal processing, statistics, and data analysis.
Strong programming skills and working experience in C/C++ and Python.
Preferred qualifications:
Background in color science, and image signal processor pipelines
Prior work experience with Face Detection / Face Recognition, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, LVM and Control Net implementations
Prior work experience with on-device AI model optimizations
Exposure to hardware and systems architecture optimization for low power deep learning systems
Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, Camera, ISP, Model Optimization
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to
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
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
. ]]>Recommended Skills
- Artificial Intelligence
- C++ (Programming Language)
- Computer Vision
- Data Analysis
- Deep Learning
- Image Processing
Help us improve CareerBuilder by providing feedback about this job:
Job ID: 3061680
CareerBuilder TIP
For your privacy and protection, when applying to a job online, never give your social security number to a prospective employer, provide credit card or bank account information, or perform any sort of monetary transaction. Learn more.
By applying to a job using CareerBuilder you are agreeing to comply with and be subject to the CareerBuilder Terms and Conditions for use of our website. To use our website, you must agree with the Terms and Conditions and both meet and comply with their provisions.