New

Engineer, AI/ML

665 Clyde Avenue, Mountain View, CA, USA

Lab Summary:

Samsung Knox™ is a combination of a proven security foundation built into Samsung devices, and a mature suite of business solutions leveraging this platform, Secured by Knox. The Knox platform is anchored in the actual chipset of the device during the manufacturing stage. Knox protects both businesses and consumers using Samsung phones, tablets, and wearables. In addition, our portfolio of Knox cloud solutions allows businesses to configure, customize, deploy, and manage their devices to meet various and specific needs.

Come join the Samsung Knox team and help us define and develop the future role of smart phones in business! https://www.samsungknox.com/

 Position Summary:

The Samsung MPS ESIL Team is seeking a Machine Learning Research Engineer to drive the development of on-device enterprise AI agents and frameworks. This role focuses on designing, building, and optimizing LLM-powered agents that run securely on mobile, wearable, and IoT devices in resource-constrained environments. You will explore novel agent architectures, advance retrieval-augmented generation (RAG) pipelines, and ensure safe, robust, and performant post-training of LLMs for enterprise deployments. This is a unique opportunity to push forward next-generation enterprise AI agent technology, with impact on millions of devices globally and opportunities to contribute to patents and publications.

Position Responsibilities:

  • Explore and design novel agent architectures for enterprise-grade AI agents that combine automation, context-awareness, and secure decision-making
  • Research and develop on-device RAG pipelines, integrating knowledge graphs, vector search, and hybrid keyword search to enable secure and contextual enterprise AI
  • Strong knowledge of AI agent architectures, context-aware systems, and multi-agent frameworks
  • Optimize retrieval and reasoning workflows for agents, ensuring efficient integration of enterprise knowledge into LLM-based decision-making
  • Conduct post-training optimization (safety tuning, alignment, and evaluation) for robust and trustworthy deployment of enterprise AI agents
  • Apply model optimization techniques (quantization, distillation, pruning) for efficient deployment on mobile and IoT devices
  • Build frameworks leveraging LiteRT LM, Mediapipe LLM, llama.cpp, MLC LLM, and similar runtimes for on-device agent deployment
  • Collaborate with product and engineering teams to integrate device agents into Knox enterprise solutions
  • Evaluate agent performance in enterprise use cases and contribute to patents and top-tier research publications
  • Rapidly prototype and develop proof-of-concept applications to explore new features and validate technical feasibility

Required Skills:

  • Master’s or Ph.D. in Computer Science, AI/ML or a related field, or equivalent combination of education, training, and experience
  • 1+ years of experience
  • Hands-on experience with LLMs and NLP applications, especially in enterprise or security contexts
  • Strong knowledge of AI agent architectures, multi-agent coordination, and decision-making frameworks
  • Experience building or optimizing retrieval systems (knowledge graphs, vector search, hybrid search)
  • Familiarity with RAG pipelines and their integration with LLMs for enterprise applications
  • Proficiency in post-training techniques (alignment, safety tuning, RLHF, evaluation).
  • Experience with model optimization (quantization, pruning, distillation) for on-device/edge systems
  • Strong coding skills in Python with frameworks such as PyTorch or TensorFlow
  • Familiarity with mobile LLM inference frameworks (LiteRT LM, Mediapipe LLM, llama.cpp, MLC LLM)
  • Strong communication and teamwork skills, with a results-oriented approach

 Special Attributes:

  • Proven expertise in enterprise AI agent design, including secure and context-aware automation
  • Experience implementing on-device RAG pipelines for knowledge retrieval and augmentation
  • Contributions to patents or publications in AI/NLP/ML (ACL, NeurIPS, ICLR, KDD, etc.)
  • Experience integrating AI agents with enterprise systems and understanding security/compliance needs
  • Familiarity with cloud + edge hybrid architectures
  • Understanding of Android internals (Framework, OS, Security)
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

$132,500 - $182,150 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 reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

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  provide 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.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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