Senior Staff Research Engineer, On-Device Language Intelligence at Samsung Research America

Mountain View, California, United States

Samsung Research America Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

Candidates must possess a PhD in Computer Science, Electrical Engineering, or a related field, or an equivalent combination of education, training, and experience, with at least 10 years of research experience in AI/NLP/ML, and experience conducting research and shipping user-facing products. Experience with large language models (LLM) including Transformer model architecture, attention mechanisms, and decoder-only LLMs is required, as is foundational LLM training experience, including data curation, distributed training, and hyperparameter tuning. Experience in making LLM-based solutions deployable on-device with small latency and memory, along with NPU optimization, is also necessary, as is expertise in LLM alignment, instruction tuning, LoRA, and Adapter techniques. Proficiency in deep learning frameworks such as TensorFlow or PyTorch is required, along with hands-on experience with large language models like GPT and LLaMA.

Responsibilities

The Senior Staff Research Engineer will conduct cutting-edge research and development of large foundation models (LLM, VLM, and Reasoning) for future Samsung products, including model design, efficient model training, instruction tuning, and prompt engineering. They will collaborate with a multidisciplinary team to understand requirements, develop prototypes, and deliver robust solutions, conduct thorough evaluations of model performance, identify areas for improvement, and propose innovative solutions to enhance large language models. The role also involves generating creative solutions (patents) and publishing research results in top conferences, and contributing to the overall advancement of on-device language intelligence research.

Skills

LLM
VLM
Transformer
Attention Mechanisms
Decoder-only LLMs
SSM
Instruction Tuning
Prompt Engineering
Distributed Training
Data Curation
Hyperparameter Tuning
On-Device Deployment
NLP
ML

Samsung Research America

Develops advanced technology in multiple domains

About Samsung Research America

Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees

Benefits

Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs

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