2026 Intern, Computer Vision & ML (Summer)
Lab Summary:
As part of Mobile Platform Services (MPS) within Samsung Research America, you will join the Advanced Research Team focused on cutting-edge computer vision, machine learning, and AI-driven XR (AR, MR, VR) technologies. Our mission is to build the next generation of head-mounted displays, spanning both commercial products and forward-looking research that will shape Samsung’s technology roadmap over the coming years.
Position Summary:
The Computer Vision & Machine Learning Intern will contribute to research and development of on-device image transformation, image denoising, image quality enhancement, and machine learning technologies across Samsung platforms. This role bridges research and product development, emphasizing the creation of innovative, efficient, and production-ready solutions for AR/VR systems.
The position places particular emphasis on image transformation, denoising, and visual quality enhancement using computer vision and machine learning algorithms optimized for mobile and embedded devices.
Position Responsibilities:
- Research and develop computer vision and machine learning algorithms for image transformation, denoising, and quality enhancement.
- Optimize and deploy GPU-accelerated ML pipelines on mobile and Android platforms.
- Prototype, evaluate, and refine algorithms for both research exploration and product integration.
- Collaborate closely with researchers and engineers to transition concepts into reliable, production-level solutions.
- Contribute to XR-related technologies including AR/VR imaging and perception pipelines.
Required Skills:
- Currently pursuing a Master’s or PhD in Computer Vision, Machine Learning, or a related field.
- Hands-on experience with image denoising and image quality enhancement techniques.
- Experience with GPU processing on Android platforms.
- Strong understanding of deep learning algorithms, including model tuning and optimization using GPU libraries.
- Familiarity with key CV/ML areas such as:
- Image visual quality and readability enhancement
- Camera tracking and calibration
- Camera geometry and image transformation
- Machine learning modeling and optimization
- Solid foundation in software engineering principles and tools.
- Proficiency in C/C++ and at least one prototyping language such as Python.
- Strong collaboration, communication, self-motivation, and learning skills.
Special Attributes:
- Experience with AR glasses, AR/VR headsets, or XR development platforms.
- Exposure to real-time or resource-constrained ML systems on mobile or embedded hardware.
Hourly Pay Rate Range
$44 - $63 USD
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
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