Senior Researcher, Natural Language Processing/LLM

665 Clyde Avenue, Mountain View, CA, USA

Samsung Research America

For more than 70 years, Samsung has been at the forefront of innovation. Our discoveries, inventions and breakthrough products have helped shape the history of the digital revolution. We continue to expand our global reach and open new...

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Lab Summary:  The Samsung AI Center (SAIC) within Samsung Research America (SRA) leads at the forefront of innovation in creating intelligent and interactive machines building upon an ecosystem that is user-centric rather than device-centric. The success of AI will depend on how well devices understand their users – and how well devices empower users.  SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning. The SAIC 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.

Position Summary: Samsung Research America (SRA), located in Mountain View, CA, is looking for an outstanding and highly self-motivated researcher/engineer. We are looking for highly skilled and motivated Researchers/Engineers to join our team and contribute to the development of our future large language models (LLM) and advancing the capabilities of our AI agents to understand, plan, and execute complex tasks using LLMs. 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.

Position Responsibilities:

  • Conduct cutting-edge research and development of large foundation models 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 equivalent combination of education, training, and experience
  • 1+ years of experience with AI related Research.
  • Expertise in Transformer model architecture, attention mechanisms, decoder only LLMs.
  • Expertise in retrieval augmented generation (RAG) models.
  • Expertise in LLM alignment, instruction tuning, vicuna tuning, RLHF, LoRA, Adapter, etc.
  • Expertise in action planning techniques and the ability to apply them to LLMs.
  • Expertise in neuro-symbolic models combining symbolic reasoning with neural network.
  • Experience and knowledge in operating system internals, kernel architecture, low level system components are a big plus.
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, and strong hands-on experience with large language models (e.g., GPT, LLaMA, MPT).
  • 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.
  • Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICLR, AAAI, ACL, EMNLP, etc.)
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$151,200—$207,750 USD

Additional Information

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.

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Tags: Architecture ASR Computer Vision Deep Learning EMNLP Engineering GPT ICLR LLaMA LLMs LoRA Machine intelligence Machine Learning Model design Model training NeurIPS NLP PhD Prompt engineering PyTorch R R&D Research RLHF TensorFlow

Perks/benefits: Career development Conferences Salary bonus

Region: North America
Country: United States
Job stats:  7  0  0
Categories: NLP Jobs Research Jobs

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