Senior Staff Research Engineer, On-Device Personal Intelligence

Key Skills

Aartificial intelligence, ChatGPT, Deep Learning, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

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:

• PhD in C.S., EE or related fields or equivalent combination of education, training, and experience
• 10+ years of research experience in the fields of AI/NLP/ML
• Experience conducting research and shipping user facing products
• 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.
• Experience in 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

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Base Pay Range

$188,400—$282,450 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.

Affirmative Action / Equal Opportunity

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.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.