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AI Research Engineer, Language & Personal Intelligence

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Samsung Electronics GmbH
Full Time position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 179200 - 246150 USD Yearly USD 179200.00 246150.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Research Engineer, Language & Personal Intelligence

Job Location

Mountain View, CA

Job Category Job Type

Full-Time

Job #

402808

Job Department

Artificial Intelligence Center

Lab

Summary:

The Language & Personal Intelligence (LPI) Lab at Samsung Research America focuses on advancing next-generation AI systems that understand, reason, remember, and adapt to users over time. Our mission is to build deeply personalized, context-aware, and agentic intelligence that operates efficiently across devices and ecosystems, combining foundational research with real-world impact at global scale.

Position Summary: The Language & Personal Intelligence (LPI) Lab at Samsung Research America focuses on advancing next-generation AI systems that understand, reason, remember, and adapt to users over time. Our mission is to build deeply personalized, context-aware, and agentic intelligence that operates efficiently across devices and ecosystems, combining foundational research with real-world impact at global scale.

  • Opportunity to work on next-generation personalized and agentic AI systems with real-world impact
  • A collaborative environment that values both research depth and practical engineering excellence

Position Responsibilities:

  • Design and implement AI models and systems for language understanding, generation, and personalization
  • Develop and prototype memory-augmented and retrieval-based AI systems, including Retrieval-Augmented Generation (RAG)
  • Contribute to agentic reasoning and planning systems, including:
    • Reinforcement learning–based decision making
    • Progressive or hierarchical planning
    • Personalized planning and goal-driven behavior
  • Research and implement self-evolving and adaptive memory mechanisms that support long-term personalization
  • Explore continual and incremental learning approaches that enable models to adapt over time
  • Contribute to on-device intelligence research, including:
    • Efficient model architectures
    • Memory- and computation-aware inference
    • Privacy-preserving and edge-friendly learning techniques
  • Collaborate with cross-functional research and engineering teams to transition ideas into prototypes and product-ready solutions
  • Contribute to internal publications, patents, and external research venues such as NeurIPS, ICML, ICLR, ACL, and EMNLP

Required Skills:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field, or equivalent industry research experience
  • 3+ years of experience in AI research, applied research, or advanced AI engineering
  • Strong experience with modern ML frameworks (e.g., PyTorch, Tensor Flow, JAX)
  • Solid understanding of language models, retrieval-based systems, or knowledge-augmented AI
  • Experience designing and implementing end-to-end AI systems, from modeling to evaluation
  • Strong problem-solving skills and ability to work effectively in research-driven engineering environments
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

$179,200 — $246,150 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.

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…

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