Senior Research Scientist - On-Device Machine Learning

Title: Senior Research Scientist - On-Device Machine Learning

Company : Samsung Research America (SRA)

Lab: Artificial Intelligence Center

Location : Mountain View, CA

Lab Summary:

The AI center at Samsung Research America (SRA), located in Mountain View, CA, is looking for an outstanding and highly self-motivated researcher/engineer. We are looking for candidates with machine learning and deep learning background. You will work with a team of research scientists and engineers tackling real-world problems involving Samsung’s Artificial Intelligence initiatives. 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. The AI research center is a key part of Samsung’s global R&D effort and aims to have influence on future Samsung products reaching hundreds of millions of users worldwide.

Common Essential Duties & Responsibilities:

• Design, develop and implement novel efficient deep learning/machine learning algorithms at extremely low power for various applications including vision, audio, sensor data, etc.;
• Develop and implement efficient deep learning/machine learning models on small, low-powered devices like microcontrollers, IOT devices, etc.;
• Generate creative solutions (patents) and publish research results in top conferences (papers).

Background / Experience:

• Experience in efficient deep/machine learning model/architecture design for edge devices (e.g., MobileNet, ShuffleNet, etc.);
• Experience in digital signal processing and leveraging DSP to design lightweight deep/machine learning models;
• Experience in model compression techniques (e.g., pruning, quantization, knowledge distillation, SVD, etc.);
• Experience in software-hardware codesign for efficient machine/deep learning;
• Experience in developing and implementing deep/machine learning models on microcontrollers, IOT devices, etc.;
• Experience in privacy-preserving learning (e.g., federated learning);
• Experience in developing and implementing efficient on-device ML/DL and TinyML model training pipeline;
• Experience in platform-aware model optimization (e.g., low-precision training/inference);
• Experience in efficient hardware accelerator design for neural computing on mobile devices;
• Proficiency in on-device ML and TinyML libraries (e.g., TensorFlow Lite, TensorFlow Lite for Microcontrollers, PyTorch Mobile, etc.);
• Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICLR, ICML, AAAI, IJCAI, CVPR, ACL, etc.);

Necessary Skills / Attributes:

• Team work and communication skills are required
• PhD. in CS, EE, or related field is required

Compensation for this role is expected to be between $152,700 and $186,650, but may be higher or lower in other states due to geographic differentials in the labor market.  Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.