What are the responsibilities and job description for the Research Scientist Lead, ML & AI position at Samsung Research America?
Lab Summary:
Samsung is the world’s largest consumer electronics company and the leading provider for smart phones and smart TVs. Samsung smart TVs connect homes to the Internet, providing a full range of intelligence capabilities such as scene and video understanding, speech recognition, gesture recognition, advanced video processing and personalized recommendation.
Position Summary:
The Core Machine Learning research team at Samsung Research America (SRA), part of Samsung’s Visual Display Intelligence Lab, located in Irvine, CA, is looking for an outstanding and highly self-motivated research scientist lead that can lead and manage a team of research scientist PhDs. We are looking for candidates with expertise in deep learning, computer vision, speech and language understanding.
You will work with a team of research scientists and engineers tackling real-world problems. You will also have the opportunity to publish at top-tier conferences in deep learning, computer vision, speech, and language understanding. As a research scientist, 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.
Position Responsibilities:
- Lead and manage a core machine learning team to conduct advanced research for machine learning, computer vision, data mining, and natural language understanding
- Collaborate with other colleagues to apply research results to prototypes and real-world applications
- Quickly prototype new ideas/technologies to create proof of concept and demos
- Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
- Summarize research findings in high-quality papers and make submissions to top-tier conferences
Required Skills:
- PhD in Computer Science or related discipline with focus in Machine Learning, or equivalent combination of education, training, and experience.
- 8 years of research science in machine learning experience in the industry
- A strong publication record in top-tier machine learning conferences and journals
- Experience with ML frameworks such as: PyTorch, Tensorflow, Keras, etc
- Technically deep in the principles of building large-scale machine learning systems
- Experience with deep learning and neural networks
- Strong Computer Science fundamentals in data structures and algorithm design
- Strong fundamentals in applied statistics and probability
- Experience with both supervised and unsupervised machine learning models.
- Familiar with ML algorithms such as but not limited to Regression, Classification, Clustering, etc.
- Experience with regularization techniques such as but not limited to: Dropout, weight decay, generative pre-training, etc
- Ability to understand recent ML research papers and adapt those models to real world products
- Self-directed, flexible, goal oriented and strong sense of ownership
- Excellent verbal and written communications skills; experience presenting complex technical information, succinctly, to technical and non-technical audiences
Special Attributes:
- Experience managing a team or demonstrating technical leadership
- Experience with computer vision and published papers in computer vision conferences
- Experience and familiarity with vision language models
