Senior Research Engineer, On-Device Language Intelligence

Job Location

Mountain View, CA

Job Category

Job Type

Full-Time

Job #

402602

Job Department

Artificial Intelligence Center

Lab Summary :

Samsung AI Research Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in on-device natural language intelligence.

Position Summary :

We are looking for highly skilled and motivated Researchers / Engineers to join our team and contribute to the development of our future natural language intelligence.

Position Responsibilities :

Conduct cutting-edge research and development of large foundation models (LLM, VLM, and Reasoning) for future, including model design, efficient model training, instruction tuning, prompt engineering, planning, action and related topics.

Collaborate with a multidisciplinary team of researchers, engineers, and domain experts to understand requirements, develop prototypes, and deliver robust solutions.

Conduct thorough evaluations and analysis of model performance, identify areas for improvement, and propose innovative solutions to enhance the overall quality and capabilities of large language models.

Generate creative solutions (patents), publish research results in top conferences (papers).

Required Skills :

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field or equivalent combination of education, training, and experience.

1+ years of research experience in the fields of AI / NLP / ML.

Experience in large language model (LLM), including Transformer model architecture, attention mechanisms, decoder only LLMs, SSM architecture. Foundational LLM training experience is a plus, including data curation, distributed training, and hyperparameter tuning.

Experience in making LLM-based solution deployable on-device with small latency and memory (e.g., knowledge distillation) and on-device acceleration. NPU optimization is a plus.

Experience in LLM alignment, instruction tuning, LoRA, Adapter, etc.

Expertise in multi-step reasoning, planning, reinforcement learning (including RLHF), etc.

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, and strong hands-on experience with large language models (e.g., GPT, LLaMA, etc.).

Strong analytical and problem-solving skills, with a keen attention to detail and a passion for pushing the boundaries of AI capabilities.

Excellent written and verbal communication skills, with the ability to present complex concepts and research findings in a clear and concise manner.

Demonstrated ability to work independently as well as collaboratively in a fast-paced research and development environment.

A strong product / commercialization deliverable experience is required.

Base Pay Range :

$151,200 — $207,750 USD

Additional Information :

Be careful not to disclose information related to the trade secrets of your previous or current employer(s).

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.

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.

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