California Jobs

Senior AI Staff Research Engineer, On-Device Language Intelligence


Pay$188400.00 / year
LocationMountain View/California
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 32282180659

      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), 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) and 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 solutions 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.

      Compensation: 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:

      Disclosure of Trade Secrets: Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

      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.

      Equal Employment Opportunity: At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

      Samsung Research America is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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