AI Research - Internship

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The Artificial Intelligence Center (AIC) at Samsung Research America (SRA), located in Mountain View, CA, is looking for an outstanding and highly self-motivated summer research interns. We are looking for candidates with expertise in deep learning, computer vision and language understanding, with research experience in the following areas: large-scale visual recognition and detection, object tracking, video understanding, deep learning, deep model compression, facial analysis (recognition, expression, and attributes perception), video summarization and NLP. The candidate will work with a team of research scientists and engineers tackling real-world problems involving Samsung’s Artificial intelligence products. The candidate can also have the opportunity to publish at top-tier conferences in deep learning, computer vision and language understanding. As a research engineer, you will be involved in very promising team projects with talented people at Samsung. You will benefit a lot by working in a fun and creative environment. AIC is a key part of Samsung’s global R&D effort and aims to have direct impact on future Samsung products reaching hundreds of millions of users worldwide.

Position Summary:

Samsung Research America AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects.

Common Essential Duties & Responsibilities:

• Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech), computer vision and sensor data in various applications (e.g., robotics, AR, etc.)
• Contribute to the research activities of our team
• Generate creative solutions (patents) and publish research results in top conferences (papers)

Background / Experience:

Experience in one or more of the following areas:

• Strong background in deep learning technologies (e.g, Transformer, CNN, RNN, Sequence to Sequence models, etc.)
• Strong background in machine learning (supervised learning, transfer learning, GAN, one-shot or few shot learning, unsupervised learning, semi-supervised learning, weakly supervised learning, meta-learning, outlier detection, etc.)
• Experience in data driven technologies on natural language processing (e.g., language models, semantic parsing, etc.), dialogue (e.g., state tracking, policy learning, and representation learning (embedding, conceptualization, etc.)
• Experience in multimodal technologies (e.g., visual+voice, sensor+voice, visual+sensor, etc.) for various multimodal applications (e.g., VQA, audio separation, etc.)
• Experience in on-device AI technologies such as model compression, lightweight model architecture design, efficient model adaptation and continual learning
• Experience in knowledge augmented AI technologies (e.g., neuro-symbolic learning) for single or multiple modalities
• Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
• Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, TACL, etc.)

Necessary Skills / Attributes:

• Team work and communication skills are required
• Ph.D. student/degree in CS, EE, or related field is required

Additional Information

For U.S. Candidates Only: SRA has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

Work Hours

• Incumbent must make themselves available during core business hours.

Physical Requirements

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, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.

EEO Statement

Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.